Online study resources available anywhere, at any time
High-quality Study Documents, expert Tutors and Flashcards
Everything you need to learn more effectively and succeed
We are not endorsed by this school |
- Course Hero has verified this tag with the official school catalog
We are sorry, there are no listings for the current search parameters.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
We don't have any study resources available yet.
School: Stanford
Course: The Fourier Transform And Its Applications
EE261 Raj Bhatnagar Summer 2009-2010 EE 261 The Fourier Transform and its Applications Midterm Examination 19 July 2010 (a) This exam consists of 4 questions with 12 total subparts for a total of 50 points. (b) The questions dier in length and diculty. Do
School: Stanford
Course: Basic Physics For Solid State Electronics
1. Semiconductor carrier statistics (40 points) Consider a semiconductor with a face-centered cubic lattice and with cubic symmetry. The valence band has a maximum at with an energy E = 0 and with an effective mass m0 = me. (me is the mass of a free elect
School: Stanford
EE263 Dec. 56 or Dec. 67, 2008. Prof. S. Boyd Final exam This is a 24 hour take-home nal exam. Please turn it in at Bytes Cafe in the Packard building, 24 hours after you pick it up. Please read the following instructions carefully. You may use any books,
School: Stanford
Course: Information Theory
EE376A: Homeworks #6 Solutions 1. Cascaded BSCs. Consider the two discrete memoryless channels (X , p1 (y |x), Y ) and (Y , p2 (z |y ), Z ). Let p1 (y |x) and p2 (z |y ) be binary symmetric channels with crossover probabilities 1 and 2 respectively. 1 1 0
School: Stanford
Course: EE314
EE214B Feedback Circuits Part II Handout #9 B. Murmann Stanford University Winter 2012-13 Textbook Sections: 5.4, 9.4.4 Motivating Example: TIA for High-Speed Optical Networks Transimpedance gain 1800 Bandwidth 34 GHz Input noise 25 Maximum input 1.3 mAp
School: Stanford
Course: Digital MOS Integrated Circuits
EE313 Winter 2009-10 J. Kim & M. Horowitz Handout #8 page 1 of 10 SOLUTIONS TO HOMEWORK #0 Problem # 1 (1.1) Run HSPICE on etude1.sp. (1.2) Use CScope to look at the DC transfer characteristic curves. Notice that inverters with different ratios have diffe
School: Stanford
Course: Digital Signal Processing
School: Stanford
School: Stanford
School: Stanford
School: Stanford
School: Stanford
School: Stanford
Course: On Achievability Via Random Binning
1 On Achievability via Random Binning Ritesh Kolte, Kartik Venkat cfw_rkolte, kvenkat@stanford.edu AbstractIn [1], the authors present a novel tool to establish achievability results in network information theoretic problems. The main idea is to study a s
School: Stanford
Course: Analog Integrated Circuit Design
Lecture 6 Design Example 2 Extrinsic Capacitance Boris Murmann Stanford University murmann@stanford.edu Copyright 2004 by Boris Murmann B. Murmann EE 214 Lecture 6 (HO#9) 1 Overview Reading 1.6.7 (Parasitic Elements) 7.1, 7.2.0, 7.2.1 (Mille
School: Stanford
Course: Analog Integrated Circuit Design
Lecture 24 kT/C Noise Boris Murmann Stanford University murmann@stanford.edu Copyright 2004 by Boris Murmann B. Murmann EE 214 Lecture 24 (HO#32) 1 Overview Introduction Having established the basic noise mechanisms in MOSFETS, today's lectur
School: Stanford
School: Stanford
Course: Probabilistic System Analysis
EE 178/278A Probabilistic Systems Analysis Spring 2014 Tse/Hussami Lecture 2 Introduction to Probability (cont.)1 Reading: Chapter 1 from Bertsekas and Tsitsiklis. We rst review the example of rolling two fair dice. Roll two fair dice. Then the same space
School: Stanford
Course: Probabilistic System Analysis
EE 178/278A Probabilistic Systems Analysis Spring 2014 Tse/Hussami Lecture 6 The Coupon Collectors Problem: An Application We consider a simplied description of the BitTorrent peer-to-peer le-sharing protocol. When someone uploads a le to BitTorrent, it b
School: Stanford
Course: The Fourier Transform And Its Applications
EE261 Raj Bhatnagar Summer 2009-2010 EE 261 The Fourier Transform and its Applications Midterm Examination 19 July 2010 (a) This exam consists of 4 questions with 12 total subparts for a total of 50 points. (b) The questions dier in length and diculty. Do
School: Stanford
Course: Basic Physics For Solid State Electronics
1. Semiconductor carrier statistics (40 points) Consider a semiconductor with a face-centered cubic lattice and with cubic symmetry. The valence band has a maximum at with an energy E = 0 and with an effective mass m0 = me. (me is the mass of a free elect
School: Stanford
EE263 Dec. 56 or Dec. 67, 2008. Prof. S. Boyd Final exam This is a 24 hour take-home nal exam. Please turn it in at Bytes Cafe in the Packard building, 24 hours after you pick it up. Please read the following instructions carefully. You may use any books,
School: Stanford
Course: Principles And Models Of Semiconductor Devices
c hv.jz d u e I+"1- e lec<i. cfw_ ra/ - v o l t e-19 f de '77 = *r" tr = erLlpJX J e=-# o( V = - leax ("/ q<o.bJic- fu) q I 'lea uo, l " P " 6 r^x v lN lr"u p-tL Q"wJ- conv,cts (q) tlr Qa @e Fy'h,-r. " .^*oo b/u Sr X AI , ^,.,- ^ r. lr, + h-rn "- " o", t
School: Stanford
Course: Introduction To Communication Systems
EE 279 Professor Cox Solution to Final 1. (12pt) a) ii) b) i) iii) c) i) iv) d) vi) 2. (35pt) t Winter 2005-2006 HO # In phase-acceleration modulation we have: f (t ) = f c + K ! x(" )d" . Therefore to recover the signal we should extract the phase
School: Stanford
Course: Circuits I
E EI O I A FINAL WINTER0 9 NAME I.D.N UMBER SIGNATURE TIME : 3 H OURS OPENB OOKS,O PENN OTES NO P C o TW IRELESSC OMMUNICATION D EVICE STATE Y OUR A SSUMPTIONS ND R EASONING A NO C REDIT F OR A NSWERS ITHOUT R EASONING W (1) (2) ( 3) (4) n6 n6 n2 n6 130 (
School: Stanford
Course: Information Theory
EE376A: Homeworks #6 Solutions 1. Cascaded BSCs. Consider the two discrete memoryless channels (X , p1 (y |x), Y ) and (Y , p2 (z |y ), Z ). Let p1 (y |x) and p2 (z |y ) be binary symmetric channels with crossover probabilities 1 and 2 respectively. 1 1 0
School: Stanford
Course: Digital MOS Integrated Circuits
EE313 Winter 2009-10 J. Kim & M. Horowitz Handout #8 page 1 of 10 SOLUTIONS TO HOMEWORK #0 Problem # 1 (1.1) Run HSPICE on etude1.sp. (1.2) Use CScope to look at the DC transfer characteristic curves. Notice that inverters with different ratios have diffe
School: Stanford
Course: The Fourier Transform And Its Applications
EE261 Raj Bhatnagar Summer 2010-2011 EE 261 The Fourier Transform and its Applications Problem Set 1 Due Wednesday, June 29 1. (10 points) Some practice with complex numbers (a) Express the following numbers in polar form: (i) (ii) (iii) (iv) (b) For (i)
School: Stanford
Course: Introduction To Statistical Signal Processing
EE 278B Statistical Signal Processing October 20, 2011 Handout #6 Homework #4 Due Thursday, October 27 1. Coloring and whitening. Let 210 = 1 2 1 . 012 a. Find the coloring and whitening matrices of using the eigenvalue method discussed in lecture slides
School: Stanford
Course: Introduction To Statistical Signal Processing
EE 278B Statistical Signal Processing October 29, 2011 Handout #9 Homework #4 Solutions 1. (10 points) Coloring and whitening. a. We denote the eigenvalue and eigenvector matrices of as and U , respectively. After using linear algebra methods (or Matlab,
School: Stanford
EE 284 F. Tobagi Autumn 2010-2011 EE284 Homework Assignment No. 1 Topic: Switching Techniques, Network Topologies Handed out: September 21, 2010 Due: September 30, 2010 in class (Previously September 28 but now extended by 2 days) Total Points: 45 ALL WOR
School: Stanford
PRELAB 3 MORE OP-AMP CIRCUITS! If you cant fix it, make it a feature. Anonymous OBJECTIVES (Why am I doing this prelab?) To gain insight into op-amp application circuits beyond those considered in Lab 2. To understand the basics of analog filters. To u
School: Stanford
PRELAB 6 ADDITIONAL CIRCUIT CONCEPTS If you dont know where youre going, any path will take you there. Unknown OBJECTIVES (Why am I doing this prelab?) To learn about oscillators and how to simulate them in Spice. By Professor Gregory Kovacs Edited and U
School: Stanford
PRELAB 5 OPTOELECTRONIC CIRCUITS Its o.k. if we lose money on the product, well just make it up in volume! Harvard MBA Graduate OBJECTIVES (Why am I doing this prelab?) To learn about interfaces between the optical world and the electronic world. WHERES
School: Stanford
PRELAB 4 INTERFACE CIRCUITS AAAAAAAHHHHH. ZZZZZZ. FTHFPHTHTF. AAAAAHHHH! EE122 Student Who Tests Circuits with Wet Fingertips OBJECTIVES (Why am I doing this prelab?) To investigate some of the ways we interface electronics to the real world. WHERES MY P
School: Stanford
PRELAB 1 PHYSICAL & VIRTUAL INSTRUMENTS FOR ELECTRONICS The Future Begins Tomorrow! Motto of YoyoDyne Engineering in the movie Buckaroo Banzai OBJECTIVES (Why am I doing this prelab?) Review of basic instruments (physical and virtual). Review of electroni
School: Stanford
PRELAB 5 OPTOELECTRONIC CIRCUITS Its o.k. if we lose money on the product, well just make it up in volume! Harvard MBA Graduate OBJECTIVES (Why am I doing this prelab?) To learn about interfaces between the optical world and the electronic world. WHERES
School: Stanford
Handout #2 March 28, 2011 CS103 Robert Plummer CS103 Syllabus Date Day Lecture # Topic PS Due Reading I. Logic, Sets, Relations, and Functions (8 lectures) 3/28 M 1 Intro, propositional logic, truth tables equivalences, De Morgan's Laws 3/30 W 2 Predicate
School: Stanford
Course: The Fourier Transform And Its Applications
EE261 Raj Bhatnagar Summer 2009-2010 EE 261 The Fourier Transform and its Applications Midterm Examination 19 July 2010 (a) This exam consists of 4 questions with 12 total subparts for a total of 50 points. (b) The questions dier in length and diculty. Do
School: Stanford
Course: Basic Physics For Solid State Electronics
1. Semiconductor carrier statistics (40 points) Consider a semiconductor with a face-centered cubic lattice and with cubic symmetry. The valence band has a maximum at with an energy E = 0 and with an effective mass m0 = me. (me is the mass of a free elect
School: Stanford
EE263 Dec. 56 or Dec. 67, 2008. Prof. S. Boyd Final exam This is a 24 hour take-home nal exam. Please turn it in at Bytes Cafe in the Packard building, 24 hours after you pick it up. Please read the following instructions carefully. You may use any books,
School: Stanford
Course: Information Theory
EE376A: Homeworks #6 Solutions 1. Cascaded BSCs. Consider the two discrete memoryless channels (X , p1 (y |x), Y ) and (Y , p2 (z |y ), Z ). Let p1 (y |x) and p2 (z |y ) be binary symmetric channels with crossover probabilities 1 and 2 respectively. 1 1 0
School: Stanford
Course: EE314
EE214B Feedback Circuits Part II Handout #9 B. Murmann Stanford University Winter 2012-13 Textbook Sections: 5.4, 9.4.4 Motivating Example: TIA for High-Speed Optical Networks Transimpedance gain 1800 Bandwidth 34 GHz Input noise 25 Maximum input 1.3 mAp
School: Stanford
Course: Digital MOS Integrated Circuits
EE313 Winter 2009-10 J. Kim & M. Horowitz Handout #8 page 1 of 10 SOLUTIONS TO HOMEWORK #0 Problem # 1 (1.1) Run HSPICE on etude1.sp. (1.2) Use CScope to look at the DC transfer characteristic curves. Notice that inverters with different ratios have diffe
School: Stanford
Course: The Fourier Transform And Its Applications
EE261 Raj Bhatnagar Summer 2010-2011 EE 261 The Fourier Transform and its Applications Problem Set 1 Due Wednesday, June 29 1. (10 points) Some practice with complex numbers (a) Express the following numbers in polar form: (i) (ii) (iii) (iv) (b) For (i)
School: Stanford
Course: Introduction To Statistical Signal Processing
EE 278B Statistical Signal Processing October 20, 2011 Handout #6 Homework #4 Due Thursday, October 27 1. Coloring and whitening. Let 210 = 1 2 1 . 012 a. Find the coloring and whitening matrices of using the eigenvalue method discussed in lecture slides
School: Stanford
Course: Introduction To Statistical Signal Processing
EE 278B Statistical Signal Processing October 29, 2011 Handout #9 Homework #4 Solutions 1. (10 points) Coloring and whitening. a. We denote the eigenvalue and eigenvector matrices of as and U , respectively. After using linear algebra methods (or Matlab,
School: Stanford
EE 284 F. Tobagi Autumn 2010-2011 EE284 Homework Assignment No. 1 Topic: Switching Techniques, Network Topologies Handed out: September 21, 2010 Due: September 30, 2010 in class (Previously September 28 but now extended by 2 days) Total Points: 45 ALL WOR
School: Stanford
Course: Fourier Transform And Application
EE 261 The Fourier Transform and its Applications Fall 2012 Problem Set Nine Due Friday, December 7 1. (20 points) 2D Fourier Transforms Find the 2D Fourier Transforms of: (a) sin 2ax1 sin 2bx2 Solution: Because the function is separable we have F (sin 2a
School: Stanford
Course: Introduction To Statistical Signal Processing
EE 278B Statistical Signal Processing Tuesday, December 6, 2011 Handout #19 Homework #7 Solutions 1. (20 points) Autocorrelation functions. a. The mean function is X (t) = E[At + B ] = E[A]t + E[B ] = 0. The autocorrelation function is RX (t1 , t2 ) = E[(
School: Stanford
Course: Introduction To Statistical Signal Processing
EE 278 Statistical Signal Processing Homework #8 Due: Wednesday, December 2 November 18, 2009 Handout #18 1. Discrete-time Wiener process. Let cfw_Zn : n 0 be a discrete-time white Gaussian noise process; that is, Z1 , Z2 , Z3 , . . . are i.i.d. N (0, 1).
School: Stanford
Course: Introduction To Statistical Signal Processing
EE 278 Statistical Signal Processing Homework #7 Solutions November 20, 2009 Handout #19 1. Convergence examples. Consider the following sequences of random variables dened on the probability space (, F , P), where = cfw_0, 1, . . . , m 1, F is the collec
School: Stanford
Course: The Fourier Transform And Its Applications
EE 261 The Fourier Transform and its Applications Fall 2009 Solutions to Problem Set One 1. Some practice with geometric sums and complex exponentials (5 points each) Well make much use of formulas for the sum of a geometric series, especially in combinat
School: Stanford
Course: Introduction To Statistical Signal Processing
EE 278B Statistical Signal Processing Thursday, November 17, 2011 Handout #16 Homework #7 Due Thursday, December 1 1. Autocorrelation functions. Find the autocorrelation functions of a. the process X (t) = At + B of problem 2 in homework 6. b. the process
School: Stanford
Course: Introduction To Statistical Signal Processing
EE 278B Statistical Signal Processing October 13, 2011 Handout #4 Homework #3 Due Thursday, October 20 1. Estimation vs. detection. Signal X and noise Z are independent random variables, where X= +1 with probability 1 with probability 1 2 1 , 2 and Z U[2,
School: Stanford
Course: The Fourier Transform And Its Applications
EE261 Raj Bhatnagar Summer 2010-2011 EE 261 The Fourier Transform and its Applications Problem Set 3 Due Wednesday 13 July 1. (15 points) Convolution and cross-correlation The cross-correlation (sometimes just called correlation) of two real-valued signal
School: Stanford
Course: Analog Integrated Circuit Design
EE214 Winter 04/05 Page 1 of 1 HOMEWORK #2 Solutions (Due: Monday, October 11, 2004, noon PT) 1. Use Spice to simulate gm/ID vs. VOV, (e.g. as shown on slides 3 and 4 of lecture 4). a) Generate a plot of gm/ID for EE214 NMOS devices with L=0.35m and
School: Stanford
Course: Principles And Models Of Semiconductor Devices
c hv.jz d u e I+"1- e lec<i. cfw_ ra/ - v o l t e-19 f de '77 = *r" tr = erLlpJX J e=-# o( V = - leax ("/ q<o.bJic- fu) q I 'lea uo, l " P " 6 r^x v lN lr"u p-tL Q"wJ- conv,cts (q) tlr Qa @e Fy'h,-r. " .^*oo b/u Sr X AI , ^,.,- ^ r. lr, + h-rn "- " o", t
School: Stanford
Course: VLSI Signal Conditioning Circuits
Lecture 7 Switched Capacitor Circuit Examples and Analysis Corrections: 5/4: Slide 32: Typo in last equation 6/13: Slide 31: beta/gm -> 1/(gm*beta) Boris Murmann Stanford University murmann@stanford.edu Copyright 2006 by Boris Murmann B. Murmann EE 315 Le
School: Stanford
Course: Analog Integrated Circuit Design
T.H. Lee EE214 The Miller Effect and Pole Splitting 1.0 Introduction Engineers frequently design systems to be dominated by a single pole. Aside from being easily analyzed (certainly an extremely attractive property in its own right), such systems
School: Stanford
Course: VLSI Signal Conditioning Circuits
EE315A Spring 2009 B. Murmann Page 1 of 3 HOMEWORK #5 (Due: Tuesday, May 12, 2009, 1pm PT) 1. Consider the idealized single-stage OTA feedback circuit shown below. The OTA is described by the "OTA1" behavioral model discussed in class and has the followin
School: Stanford
Course: Probability
EE 178 Probabilistic Systems Analysis Homework #2 Due Thursday, January 24, 2008 Handout #2 January 17, 2008 1. Catching the train. The probability that Riddley Walker goes for a run in the morning before work is 2/5. If he runs then the probabilit
School: Stanford
Course: Analog Integrated Circuit Design
EE214 Winter 04/05 B. Murmann Handout #4 Page 1 of 2 HOMEWORK #1 (Due: Monday, October 4, 2004, noon PT) You will not need (and should not use) Spice for any part of this problem set. Use simple long channel MOS models in all problems and ignore fi
School: Stanford
EE 261 Fourier Transform and Applications February 16, 2011 Handout #13 Homework #5 Due Friday, February 25 1. Exercises on distributions. a. Let g (t) be a Schwartz function. Show that g (t) (t) = g (0) (t) g (0) (t) . b. Let Tf be the distribution induc
School: Stanford
Course: Integrated Circuit Fabrication Processes
EE 212 FALL 09-10 HOMEWORK ASSIGNMENT #2 ASSIGNED: THURSDAY OCT. 1 DUE: THURSDAY OCT. 8 SOLUTION SHEET Reading Assignment: Chapters 3 and 4 in the text. #1. Spend 30 min or so scanning the information in the 2007 ITRS Front End Processes (on the class web
School: Stanford
Course: Introduction To Communication Systems
EE 279 Professor Cox Solution to Final 1. (12pt) a) ii) b) i) iii) c) i) iv) d) vi) 2. (35pt) t Winter 2005-2006 HO # In phase-acceleration modulation we have: f (t ) = f c + K ! x(" )d" . Therefore to recover the signal we should extract the phase
School: Stanford
Course: Circuits I
EE101A / Winter 2013 Prof. Simon Wong Homework #7 (Due March 6, 2013) You can use equations already derived in lecture notes or textbook. Please write your Name and Lab Section time on the front page. 1. Sedra & Smith, p. 341, Problem 5.79. The figure sho
School: Stanford
Course: Digital Systems I
EE108B Spring 2003-2004 Prof. Kozyrakis EE108b - Problem Set #1 Solutions (Total 100 points) This homework assignment helps you to be familiar with MIPS assembly language. A full reference guide for MIPS instructions is available in section A.10 (Appendix
School: Stanford
Course: Circuits I
E EI O I A FINAL WINTER0 9 NAME I.D.N UMBER SIGNATURE TIME : 3 H OURS OPENB OOKS,O PENN OTES NO P C o TW IRELESSC OMMUNICATION D EVICE STATE Y OUR A SSUMPTIONS ND R EASONING A NO C REDIT F OR A NSWERS ITHOUT R EASONING W (1) (2) ( 3) (4) n6 n6 n2 n6 130 (
School: Stanford
Course: VLSI Signal Conditioning Circuits
EE315A Spring 2009 B. Murmann Page 1 of 1 HOMEWORK #1 (Due: Thursday, April 9, 2009, 1pm PT) 1. Cadence warm-up. Work through the "Virtuoso Tutorial" handout available on the course website under "CAD". Submit a printout of the circuit schematic and phase
School: Stanford
Course: Linear Dynamical Systems
EE263 Autumn 2012-13 Prof. S. Boyd EE263 homework 1 solutions 2.1 A simple power control algorithm for a wireless network. First some background. We consider a network of n transmitter/receiver pairs. Transmitter i transmits at power level pi (which is po
School: Stanford
Course: Digital MOS Integrated Circuits
EE313 Winter 09/10 J. Kim & M. Horowitz Handout # Page 1 of 16 HOMEWORK #3 SOLUTIONS 1. HSPICE Simulation for Velocity Saturated Model (25pts) In the lecture, we learned many short channel effects in MOS transistors. In this problem, you need to run HSPIC
School: Stanford
Course: The Fourier Transform And Its Applications
EE 261 The Fourier Transform and its Applications Fall 2009 Solutions to Problem Set Two 1. (10 points) A famous sum You cannot go through life knowing about Fourier series and not know the application to evaluating a very famous sum. Let S (t) be the saw
School: Stanford
Homework #1 EE 282 Autumn 2008 Professor Kozyrakis Homework Set 1 Due: Wednesday, 10/15/2008, 5pm Please work in groups of 3 students Instructions: Submit to the box outside Gates 310 by the due date above. Show your work, state your assumptions, and just
School: Stanford
Course: INTRODUCTION TO LINEAR DYNAMIC SYSTEM
EE 261 The Fourier Transform and its Applications Fall 2011 Solutions to Problem Set Two 1. (30 points) Convolution, Autocorrelation and Fourier Series Recall the convolution of two functions f (t) and g (t) of period 1 is dened by 1 (f g )(t) f ( )g (t )
School: Stanford
Course: Fourier Transform And Application
EE 261 The Fourier Transform and its Applications Fall 2011 Final Exam December 15, 2011 Notes: There are eight questions for a total of 140 points Be sure to write your name (neatly) on your exam booklet(s) Write all your answers in your exam booklets Wh
School: Stanford
Course: RF Integrated Circuit Design
EE314: CMOS RF Integrated Circuit Design Amplifier Noise Stanford University Derek Shaeffer Derek K. Shaeffer Stanford University EE314: Amplifier Noise 1 Noise in BJT Devices vb2 4kTBrb C rb B C ib2 2qI b B Collector current shot noise g m v C ic2 2qI c
School: Stanford
Course: INTRO TO ANALOG DESIGN
Lecture 13 EE114/214A Lecture 13 Current Mirrors R. Dutton, B. Murmann Stanford University R. Dutton, B. Murmann EE114/214A 1 Basic Analysis (=0) II VI VO M1 W/L Vgs = VI ! Vt + 2Ii W Cox L IO M2 W/L 1 W 2 IO 2 Cox L (VGS " Vt ) = =1 I I 1 C W V " V 2 ( G
School: Stanford
Course: The Fourier Transform And Its Applications
EE 261 The Fourier Transform and its Applications Fall 2009 Problem Set One Due Wednesday, September 30 1. Some practice with geometric sums and complex exponentials (5 points each) Well make much use of formulas for the sum of a geometric series, especia
School: Stanford
Course: INTRO TO ANALOG DESIGN
Miller Approximation R. Dutton, B. Murmann Stanford University R. Dutton, B. Murmann EE114 (HO #11) 1 Analysis with Extrinsic Caps Applying KCL at nodes 1 and 2, and solving for vo/vi yields C g m R1 s gd gm vo ( s ) = vi ( s ) 1 + s (Cdb + C gd )R + (C
School: Stanford
Course: Stochastic Control
EE365, Spring 2011-12 Professors S. Boyd, S. Lall, and B. Van Roy EE365 Homework 1 solutions 1.1 Optimal disposition of a stock. You must sell a total amount B > 0 of a stock in two rounds. In each round you can sell any nonnegative amount of the stock; b
School: Stanford
Course: VLSI Signal Conditioning Circuits
EE315A Spring 2009 B. Murmann Page 1 of 2 HOMEWORK #2 (Due: Thursday, April 16, 2009, 1pm PT) 1. Design a 4th order Butterworth lowpass filter with 0.3 dB maximum attenuation (worst case) in the passband (0 Hz to 500 kHz) and a nominal gain of 1. Implemen
School: Stanford
Course: Convex Optimization I
EE364a, Winter 2011-12 Prof. S. Boyd EE364a Homework 4 solutions 5.27 Equality constrained least-squares. Consider the equality constrained least-squares problem minimize Ax b 2 2 subject to Gx = h where A Rmn with rank A = n, and G Rpn with rank G = p. G
School: Stanford
Course: Analog Integrated Circuit Design
Lecture 6 Design Example 2 Extrinsic Capacitance Boris Murmann Stanford University murmann@stanford.edu Copyright 2004 by Boris Murmann B. Murmann EE 214 Lecture 6 (HO#9) 1 Overview Reading 1.6.7 (Parasitic Elements) 7.1, 7.2.0, 7.2.1 (Mille
School: Stanford
Course: INTRO TO ANALOG DESIGN
Lecture 21 EE 114 Lecture 21 Feedback and Port Impedances R. Dutton, B. Murmann Stanford University R. Dutton, B. Murmann EE114 (HO #25) 1 U s in g F e e d b a c k t o M o d if y P o r t Im p e d a n c e s Feedback can be used to increase/decrease port i
School: Stanford
Course: Integrated Circuit Fabrication Processes
EE 212 FALL 09-010 HOMEWORK ASSIGNMENT #1 ASSIGNED: THURSDAY SEPT. 24 DUE: THURSDAY OCT. 1 ANSWER SHEET Reading Assignment: Chapters 1 and 2 in the text. #1. Spend 30 min or so scanning the information in the 2007 ITRS Executive Summary (on the class webs
School: Stanford
Course: EE314
EE214 Winter 12-13 B. Murmann Page 1 of 4 STANFORD UNIVERSITY Department of Electrical Engineering EE214B: Advanced Analog Integrated Circuit Design http:/ccnet.stanford.edu/ee214b/ TIME: Class: MWF 10:00-10:50 AM, Skilling Auditorium Review Session: Frid
School: Stanford
Course: Fourier Transform And Application
EE 261 The Fourier Transform and its Applications Fall 2012 Final Exam Solutions 1. (15 points)Finding Fourier transforms: The following two questions are independent. (a) (5) In communications theory the analytic signal fa (t) of a signal f (t) is dened,
School: Stanford
Course: Analog Integrated Circuit Design
6) c) The derivation below makes no assumptions, other than that the above-calculated small signal voltage gain accurately predicts the voltage swings at Vo1 and Vo2 and that the quiescent points do not shift in presence of the signal. The first stag
School: Stanford
Course: INTRODUCTION TO LINEAR DYNAMIC SYSTEM
EE263 Autumn 2011-12 Prof. S. Lall EE263 homework problems 1. A simple power control algorithm for a wireless network. First some background. We consider a network of n transmitter/receiver pairs. Transmitter i transmits at power level pi (which is positi
School: Stanford
Course: Convex Optimization I
EE364a, Summer 2011-12 N. Parikh EE364a Homework 5 solutions 8.3 Euclidean projection on proper cones. (a) Nonnegative orthant. Show that Euclidean projection onto the nonnegative orthant is given by the expression on page ?. Solution. The inner product o
School: Stanford
Course: EE314
EE214B Introduction Handout #2 B. Murmann Stanford University Winter 2012-13 Analog Circuit Sequence Design of mixed-signal and RF building blocks Analog IC Fundamentals for undergraduates and entry-level graduate students EE114/EE214A Fundamentals of Ana
School: Stanford
Course: EE314
EE214B gm/ID-Based Design Handout #6 B. Murmann Stanford University Winter 2012-13 Summary on MOSFET Modeling Modern MOSFETs are complicated! The IV-behavior in saturation can be roughly categorized according to the channels inversion level: weak, moderat
School: Stanford
Course: Analog Integrated Circuit Design
EE214 Winter 04/05 B. Murmann Handout #7 Page 1 of 2 HOMEWORK #2 (Due: Monday, October 11, 2004, noon PT) 1. Use Spice to simulate gm/ID vs. VOV, (e.g. as shown on slides 3 and 4 of lecture 4). a) Generate a plot of gm/ID for EE214 NMOS devices wit
School: Stanford
Course: Advanced Analog IC Design
EE214 Winter 10-11 B. Murmann and D. Hall Handout #1 Page 1 of 4 STANFORD UNIVERSITY Department of Electrical Engineering EE214: Advanced Analog Integrated Circuit Design http:/ccnet.stanford.edu/ee214/ TIME: INSTRUCTORS: Email: Office hours: TAs Email: O
School: Stanford
Course: Introduction To Statistical Signal Processing
EE 278 Statistical Signal Processing Homework #5 Solutions October 30, 2009 Handout #12 1. Additive-noise channel with path gain. Consider the additive noise channel shown in the gure below, where X and Z are zero mean and uncorrelated, and a and b are co
School: Stanford
Course: INTRODUCTION TO LINEAR DYNAMIC SYSTEM
Contents 1 Fourier Series 1 1.1 Introduction and Choices to Make . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2 Periodic Phenomena . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.3 Periodicity: De
School: Stanford
Course: INTRO TO ANALOG DESIGN
Lecture 0 EE114/214A EE114/214A Fundamentals of Analog Integrated Circuit Design R. Dutton, B. Murmann Stanford University R. Dutton, B. Murmann EE 114/214A 1 EE114/214A Basics (1) Teaching assistants Kamal Aggarwal, Ishaan Shah Administrative support
School: Stanford
Course: Digital Signal Processing
School: Stanford
School: Stanford
School: Stanford
School: Stanford
School: Stanford
School: Stanford
Course: Analog Integrated Circuit Design
School: Stanford
School: Stanford
School: Stanford
EE152 Green Electronics Bridge Converters & Soft Switching 10/24/13 Prof. William Dally Computer Systems Laboratory Stanford University Course Logistics Lab 4 signed off this week Lab 5 out this week Homework 4 Solar day next Thursday Summary of Transform
School: Stanford
EE152 Green Electronics Transformers Transformer Converters 10/22/13 Prof. William Dally Computer Systems Laboratory Stanford University Course Logistics Lab 4 signed off this week Lab 5 out this week Homework 4 out this week Quizzes back today Agenda Rev
School: Stanford
EE152 Green Electronics Batteries 11/5/13 Prof. William Dally Computer Systems Laboratory Stanford University Course Logistics Tutorial on Lab 6 during Thursday lecture Homework 5 due today Homework 6 out today Quiz 2 next Thursday 11/14 AC Input/Output S
School: Stanford
EE152 Green Electronics Soft Switching (concluded) Power Factor and Inverters 10/29/13 Prof. William Dally Computer Systems Laboratory Stanford University Course Logistics Lab 5 PV lab this week Solar day is on Thursday 10/31/13 (Halloween) Make sure y
School: Stanford
EE152 Green Electronics Quiz 2 Review 11/12/13 Prof. William Dally Computer Systems Laboratory Stanford University Course Logistics Entering the project phase of the course Project proposal due today Homework 6 due today Lab 6 signed off this week Quiz 2
School: Stanford
Course: Introduction To Digital Communication
EE279 Introduction to Digital Communication u Instructor: Ayfer Ozgr Stanford University January 06, 2014 u Ayfer Ozgr (Stanford) EE 279 January 06, 2014 1 / 26 Goal Message Transmitter Channel Receiver Reproduced Message Develop a solid understanding of
School: Stanford
Course: Convex Optimization I
ConvexOptimizationI-Lecture04 Instructor (Stephen Boyd):Great, I think were on. Let me start today with a couple of announcements. Lets see, the first one you can go down to the pad, is that we have posted homework 2. So which Im sure youll be very happy
School: Stanford
Course: Introduction To Linear Dynamical Systems
IntroToLinearDynamicalSystems-Lecture11 Instructor (Stephen Boyd):Let me make a couple of announcements. I guess the first announcement is that the midterms are actually graded. So those are done and theyll be available for pickup in Packard after class t
School: Stanford
Course: Introduction To Linear Dynamical Systems
IntroToLinearDynamicalSystems-Lecture04 Instructor (Stephen Boyd):I guess weve started. Let me start with a couple of announcements. The first is I guess I should remind you that Homework 1 is due today at 5:00. Several people have asked what they should
School: Stanford
Course: Introduction To Linear Dynamical Systems
IntroToLinearDynamicalSystems-Lecture01 Instructor (Stephen Boyd):Yeah, I guess this means we've started. So welcome to EE263, and I guess I should say for many of you, welcome to Stanford. Well, as I said, this is EE263. I'm Stephen Boyd. And I'll start
School: Stanford
Course: The Fourier Transform And Its Applications
TheFourierTransformAndItsApplications-Lecture05 Instructor (Brad Osgood):Okay, ready to rock and roll? All right. Weve been getting a lot of as I understand it, weve been getting a lot of email questions about when and where to turn in the homework. You c
School: Stanford
Course: The Fourier Transform And Its Applications
TheFourierTransformAndItsApplications-Lecture03 Instructor (Brad Osgood):I love show biz you know. Good thing. Okay. All right, anything on anybodys mind out there? Any questions about anything? Are we all enjoying our first problem set to class? I guess,
School: Stanford
Course: The Fourier Transform And Its Applications
TheFourierTransformAndItsApplications-Lecture02 Instructor (Brad Osgood):All right. A few announcements a few housekeeping announcements. Thomas checked the Thomas John, our estimable, one of the Eskimo Bowl TAs for the course, checked the website and we
School: Stanford
S-plane Explained A (P)REVIEW OF LAPLACE TRANFORMS AND HOW TO USE THEM IN EE122 Introduction Motivation for s-plane analysis When I say s-plane, what do I mean? How to use the s-plane Circuit analysis/design: the Integrator Signal analysis/design: FM EE
School: Stanford
EE113 Course Notes Electronic Circuits Stanford University Department of Electrical Engineering 1997 Gregory T. A. Kovacs, All Rights Reserved TABLE OF CONTENTS Chapter 1: INTRODUCTION . 1 1: OBJECTIVES . 1 2: EE113 AND EE122 - A WINNING COMBINATION . 1
School: Stanford
EE122: Frequency Response of Passive Circuits Review Notes on the Frequency Response of Passive Circuits Prepared by Rizwan Ahmed Stanford University January 7, 2003 1 Impedance of Resistors, Capacitors, and Inductors We write the impedance of a component
School: Stanford
Course: Convex Optimization I
Convex optimization examples force/moment generation with thrusters minimum-time optimal control optimal transmitter power allocation phased-array antenna beamforming optimal receiver location power allocation in FDM system optimizing structural dy
School: Stanford
EE 261 Fourier Transform and Applications Sample Midterm Examination Problems February 12, 2013 Handout #26 1. Fourier series. Let f (t), g (t), h(t) be periodic functions with periods 1, 2, 3, respectively. Find the Fourier series coecients for the sum f
School: Stanford
Course: Convex Optimization I
6.079/6.975, Fall 200910 S. Boyd & P. Parrilo Homework 10 additional problems 1. Suggestions for exercises 9.30 in Convex Optimization. We recommend the following to generate a problem instance: n = 100; m = 200; randn(state,1); A=randn(m,n); Of course, y
School: Stanford
EE 222 Applied Quantum Mechanics I David Miller EE 222 Applied Quantum Mechanics I Review and Discussion of Week 1 What is bothering you most about quantum mechanics?
School: Stanford
Course: CONVEX OPTIMIZATION I
Convex Optimization EE364a: Review Session 7 Numerical Linear Algebra (Appendix C) Stanford University Winter Quarter, 2/26/2013 1 Outline Factor-solve method Exploiting structure and sparsity Block elimination Using sparsity in Matlab 2 Outline Factor-so
School: Stanford
Course: CONVEX OPTIMIZATION I
Convex Optimization EE364a: Review Session 1 Notation and Convex Sets Stanford University Winter Quarter, 1/15/2013 1 Outline Administrative Notation General sets Norms Minimum and minimal Convexity 2 Outline Administrative Notation General sets Norms Min
School: Stanford
Course: CONVEX OPTIMIZATION I
Convex Optimization EE364a: Review Session 6 Applications Stanford University Winter Quarter, 2/19/2013 1 Outline Regressor selection problem Geometric problems Three-way linear classication 2 Outline Regressor selection problem Geometric problems Three-w
School: Stanford
Course: CONVEX OPTIMIZATION I
Convex Optimization EE364a: Review Session 4 Using CVX Stanford University Winter Quarter, 2/5/2013 1 Outline Duality Vector optimization 2 Outline Duality Vector optimization Duality 3 Dual of maximum entropy I The concave function entropy is dened as n
School: Stanford
Course: CONVEX OPTIMIZATION I
Convex Optimization EE364a: Review Session 2 Convex Functions and CVX Stanford University Winter Quarter, 1/22/2013 1 Outline Announcements Convex functions Operations that preserve convexity CVX 2 Outline Announcements Convex functions Operations that pr
School: Stanford
Course: CONVEX OPTIMIZATION I
Convex Optimization EE364a: Review Session 3 Using CVX Stanford University Winter Quarter, 1/29/2013 1 Outline Disciplined convex programming and CVX Declaring variables Forming objectives and constraints Using sets Dening new functions CVX hints/warnings
School: Stanford
Course: CONVEX OPTIMIZATION I
Convex Optimization EE364a: Review Session 5 Practice with statistical estimation, approximation and tting Stanford University Winter Quarter, 2/12/2013 1 Outline Notation Background Examples How to solve MLE 2 Outline Notation Background Examples How to
School: Stanford
Course: CONVEX OPTIMIZATION I
Convex optimization examples minimum time optimal control grasp force optimization optimal broadcast transmitter power allocation phased-array antenna beamforming optimal receiver location 1 Minimum-time optimal control linear dynamical system: xt+1
School: Stanford
Course: Information Theory
EE 376A Information Theory TTh 11-12:15pm, Building 540, Room 103 Handout #1 Tuesday, March 30, 2011 T. Cover Information Questionnaire Name: Major: Year: BS, MS, PhD, > PhD Credit?/Audit?: EE376A? Other Relevant courses: Have you taken Network Informa
School: Stanford
Course: Analog Integrated Circuit Design
Copyright 2004, 2005 Hans Camenzind. February 2005 This book is can be downloaded without fee from www.designinganalogchips.com Re-publishing of any part or the whole is prohibited. The author is indebted to the following for comments, suggestions and cor
School: Stanford
Course: Computer Systems Architecture
EE282 Computer Systems Architecture Review Session Christina Delimitrou http:/ee282.stanford.edu Acks for slides: Christos Kozyrakis, Daniel Sanchez EE282 04/05/2013 Review Session Agenda Basic Processor Design Branch Prediction Memory & Cache Hierarchy Q
School: Stanford
Course: Computer Systems Architecture
Review Session Datacenter Introduction Christina Delimitrou, Ben Johnson http:/ee282.stanford.edu EE282 Spring 2013 Review Session Announcements HW2 is due on 5/20th Project 2 is out Start early! 2 Total Cost of Ownership (TCO) The key metric in datacente
School: Stanford
Course: Stochastic Control
EE365/MS&E251 Stochastic Decision Models and Control May 15, 2012 Lecture on Control of Stochastic Systems Professors S. Boyd, S. Lall, and B. Van Roy 1 Model and Problem Formulation We will develop an approach to modeling a dynamic system and using the m
School: Stanford
Contents 1 Introduction: The World Needs Green Electronics 1.1 The Energy Crisis . . . . . . . . . . . . . . . . . . . 1.2 Green Electronics: Part of the Solution . . . . . . . 1.2.1 Example 1: Photovoltaic Generation . . . . . 1.2.2 Example 2: An Electri
School: Stanford
Course: Nanoelectronics
Contents General remarks The classical region Tunneling The connection formulas Literature The WKB approximation Quantum mechanics 2 - Lecture 4 Igor Lukaevi cc UJJS, Dept. of Physics, Osijek 29. listopada 2012. Igor Lukaevi cc The WKB approximation UJJS,
School: Stanford
Lecture 13 Communicating Across Clock Domains Ofer Shacham Stanford University shacham@alumni.stanford.edu Copyright 2012 by Ofer Shacham Slide deck from Mark Horowitz, with contributions from Ron Ho and Jo Ebergen OS 2012 EE271 - Introduction to VLSI Sys
School: Stanford
Course: Nanoelectronics
Slide 1 Stanford University EE 320: Nanoelectronics Lecture 03 Tunneling Devices H.-S. Philip Wong Professor of Electrical Engineering Stanford University, Stanford, California, U.S.A. hspwong@stanford.edu http:/www.stanford.edu/~hspwong Center for Integr
School: Stanford
Course: Nanoelectronics
Slide 1 Stanford University EE 320: Nanoelectronics Lecture 02 Energy Efficient Electronic Devices H.-S. Philip Wong Professor of Electrical Engineering Stanford University, Stanford, California, U.S.A. hspwong@stanford.edu http:/www.stanford.edu/~hspwong
School: Stanford
Course: Circuits I
EE101A / Winter 13 Handout #0 E40 Review Goal : Understand basic electrical components and the laws that govern their connections. 1. Circuit Electricity is the energy source for all electronic products. Electrical engineering is the manipulation of elect
School: Stanford
Course: Circuits I
EE 101A / Winter 13 Rev Handout #1 EE 101A - Circuits I http:/eeclass.stanford.edu/ee101a/ 1. Before 9pm on 1/10 Thursday, you MUST register in AXESS. If you do not have an account in CCNet, go to https:/ccnet.stanford.edu/, click Register with My SUNet I
School: Stanford
Course: Digital Systems II
EE108B Review 2 Laura Sharpless Gates B03, 2:15pm 1/22/2010 Agenda Announcements HW2 coverage + hints Function Calls Performance Sample Problem Announcements HW2 due Tuesday Feb 2nd PA1, Lab2 due Thursday Feb 4th Midterm in ~2 weeks HW2 Hints Problem
School: Stanford
Course: On Achievability Via Random Binning
1 On Achievability via Random Binning Ritesh Kolte, Kartik Venkat cfw_rkolte, kvenkat@stanford.edu AbstractIn [1], the authors present a novel tool to establish achievability results in network information theoretic problems. The main idea is to study a s
School: Stanford
Course: Analog Integrated Circuit Design
Lecture 6 Design Example 2 Extrinsic Capacitance Boris Murmann Stanford University murmann@stanford.edu Copyright 2004 by Boris Murmann B. Murmann EE 214 Lecture 6 (HO#9) 1 Overview Reading 1.6.7 (Parasitic Elements) 7.1, 7.2.0, 7.2.1 (Mille
School: Stanford
Course: Analog Integrated Circuit Design
Lecture 24 kT/C Noise Boris Murmann Stanford University murmann@stanford.edu Copyright 2004 by Boris Murmann B. Murmann EE 214 Lecture 24 (HO#32) 1 Overview Introduction Having established the basic noise mechanisms in MOSFETS, today's lectur
School: Stanford
School: Stanford
Course: Probabilistic System Analysis
EE 178/278A Probabilistic Systems Analysis Spring 2014 Tse/Hussami Lecture 2 Introduction to Probability (cont.)1 Reading: Chapter 1 from Bertsekas and Tsitsiklis. We rst review the example of rolling two fair dice. Roll two fair dice. Then the same space
School: Stanford
Course: Probabilistic System Analysis
EE 178/278A Probabilistic Systems Analysis Spring 2014 Tse/Hussami Lecture 6 The Coupon Collectors Problem: An Application We consider a simplied description of the BitTorrent peer-to-peer le-sharing protocol. When someone uploads a le to BitTorrent, it b
School: Stanford
Course: Probabilistic System Analysis
EE 178/278A Probabilistic Systems Analysis Spring 2014 Tse/Hussami Lecture 9 BitTorrent Servers Example A video is broken down into m chunks. Each server has a random chunk, i.e. one out of m possible choices. We are interested in the number of servers we
School: Stanford
Course: Probabilistic System Analysis
EE 178/278A Probabilistic Systems Analysis Spring 2014 Tse/Hussami Lecture 7 In the last lecture, we covered random variables and probability mass functions. The probability mass function (or distribution) assigns a mass to each point which is equal to th
School: Stanford
Course: Probabilistic System Analysis
EE 178/278A Probabilistic Systems Analysis Spring 2014 Tse/Hussami Lecture 5 Biased Coin Review Suppose we have two biased coins, with probabilities p for coin 1 and q for coin 2 of obtaining heads. We rst consider the experiment where we generate a seque
School: Stanford
Course: Probabilistic System Analysis
EE 178/278A Probabilistic Systems Analysis Spring 2014 Tse/Hussami Lecture 1 Introduction to Probability1 Reading: Chapter 1 from Bertsekas and Tsitsiklis. Life is full of uncertainty. Probability is a framework to deal with uncertainty. Probability theor
School: Stanford
Course: Probabilistic System Analysis
EE 178/278A Probabilistic Systems Analysis Spring 2014 Tse/Hussami Lecture 3 Conditional Probability1 A pharmaceutical company is marketing a new test for a certain medical disorder. According to clinical trials, the test has the following properties: 1.
School: Stanford
Course: Probabilistic System Analysis
EE 178/278A Probabilistic Systems Analysis Spring 2014 Tse/Hussami Lecture 4 Conditional Probability Review In the previous lecture, the conditional probability P(A|B) was dened as summarizes the differences before and after conditioning on the event B. P
School: Stanford
Course: Probabilistic System Analysis
EE 178/278A Probabilistic Systems Analysis Spring 2014 Tse/Hussami Lecture 10 Chebyshevs inequality: Polling Application In the last lecture, we covered Chebyshevs inequality: Theorem 10.1: [Chebyshevs Inequality] For a random variable X with expectation
School: Stanford
Course: Probabilistic System Analysis
EE 178/278A Probabilistic Systems Analysis Spring 2014 Tse/Hussami Lecture 8 We ended the last lecture by dening the variance and standard deviation of a random variable. These notions capture the randomness in the variable or its deviation around its mea
School: Stanford
Course: Probabilistic System Analysis
EE 178/278A Probabilistic Systems Analysis Spring 2014 Tse/Hussami Lecture 14 Continuous Probability Continued We will nish the main part of the material in this lecture, and then move on to applications of probability in inference problems. We ended lect
School: Stanford
Course: Probabilistic System Analysis
EE 178/278A Probabilistic Systems Analysis Spring 2014 Tse/Hussami Lecture 15 Inference Examples In the remaining lectures, we consider applications that are centered around inference. In inference problems, we update probabilities of an event by conditio
School: Stanford
Course: Probabilistic System Analysis
EE 178/278A Probabilistic Systems Analysis Spring 2014 Tse/Fernandez-Granda/Hussami Lecture 18 Speech Recognition Example Continued In Lecture 17, we discussed how to use the Viterbi algorithm to nd the sequence of states (or Xi s) that maximizes the post
School: Stanford
Course: Probabilistic System Analysis
EE 178/278A Probabilistic Systems Analysis Spring 2014 Tse/Hussami Lecture 16 Communications Example Continued In the previous lecture, we covered an application in communication. We will now wrap up our communication example on the binary symmetric chann
School: Stanford
Course: Probabilistic System Analysis
EE 178/278A Probabilistic Systems Analysis Spring 2014 Tse/Hussami Lecture 17 Speech Recognition Example Continued Last time, we modeled the speech recognition problem. We let Xi be the phoneme at time i and Yi be the corresponding feature extracted from
School: Stanford
Course: Probabilistic System Analysis
EE 178/278A Probabilistic Systems Analysis Spring 2014 Tse/Hussami Lecture 12 Midterm Exam Comments (1) Balls and bins problem: The main point in this problem is to understand the logical relationship between events, rather than computing probabilities ri
School: Stanford
Course: Probabilistic System Analysis
EE 178/278A Probabilistic Systems Analysis Spring 2014 Tse/Hussami Lecture 11 A Brief Introduction to Continuous Probability Up to now we have focused exclusively on discrete probability spaces , where the number of outcomes is either nite or countably i
School: Stanford
Course: Probabilistic System Analysis
EE 178/278A Probabilistic Systems Analysis Spring 2014 Tse/Hussami Lecture 13 Continuous Probability Continued In the Lecture 11, we introduced continuous random variables. For example, lets consider X Uni f [0, 1] which is a random variable that takes on
School: Stanford
Course: Semiconductor Optoelectronic Devices
2/19/13 Lecture 12 Ch. 7 Solar Cells (1)! ! 1. Environmental Challenges ! ! ! ! 2. Energy Requirements ! ! ! ! 3. Photovoltaic Conversion ! ! ! ! 4. Thin Film Solar Cells ! ! ! !Polycrystalline! !Organic! !Nanocrystalline! !Nanostructured crystalline! !
School: Stanford
Course: Semiconductor Optoelectronic Devices
1/7/13 Lecture 18 Ch. 9 Semiconductor Lasers (2)! ! 6. Vertical Cavity Surface Emitting Lasers ! 7. Laser Gain Dynamics ! 8. Modulation Bandwidth ! ! !2! ! ! ! 23! ! 9. Integrated Photonic Circuits VCSEL/Detectormicrofluorimeter (TAS) ! 16! ! 31! ! ! !
School: Stanford
Course: Semiconductor Optoelectronic Devices
9. Semiconductor lasers ! l Conditions Necessary for Stimulated Emission! l l l l l l l l l Gain! Phase Match! Threshold Current! Optical Connement & Coupling to EM Field! Single Frequency Lasers! Vertical Cavity Surface Emitting Lasers (VCSEL)! Laser Gai
School: Stanford
Course: Semiconductor Optoelectronic Devices
1/6/13 Lecture 13 Ch. 7 Solar Cells (2)! ! 1. Concentration Systems ! ! ! ! 2. Multijunction Solar Cells ! ! ! ! ! ! ! ! ! ! ! ! ! * Reading: Bhattacharya pp. 438-445 EE243. Semiconductor Optoelectronic Devices (Winter 2013)! ! ! !2! ! ! !9! Prof. J. S.
School: Stanford
Course: Semiconductor Optoelectronic Devices
1/6/13 Lecture 15 Ch. 5 Light Emitting Diodes (LEDs) (1)! ! 1. Introduction ! ! ! ! ! ! ! 2. Light Emission Mechanism ! ! ! ! ! 3. Various LED Materials and Their Characteristics! ! ! 4. Efciency of LEDs! ! ! ! ! ! ! ! ! ! ! ! * Reading: Ch. 5 Reader, B
School: Stanford
Course: Semiconductor Optoelectronic Devices
1/6/13 Lecture 14 Ch. 8 Modulators! ! 1. Introduction ! ! ! ! 2. Absorptive Modulators ! ! 2.1 Franz-Keldysh Effect 2.2 Quantum Confined Stark Effect! ! 3. Refractive Modulators ! ! 3.1 Bandgap Resonant Effects 3.2 Electro-optic Effects! ! ! ! !2! ! ! !
School: Stanford
Course: Semiconductor Optoelectronic Devices
1/6/13 Lecture 8 Ch. 4 pn Junction Diodes (1) 1. Diodes and Basic Transport Equations 2 2. Continuity Equations 4 3. Current Density Equations 3.1 Drift 3.2 Diffusion 3.3 Einstein Relation and Total Current 8 4. Recombination Mechanisms 4.1 Radiative Re
School: Stanford
Course: Semiconductor Optoelectronic Devices
Lecture 11 Ch. 6 Semiconductor Detectors 1. Introduction 2 2. p-n and p-i-n Photodiodes 3. Schottky Photodiodes 10 13 4. Avalanche Photodiodes 19 5. Metal-Semiconductor-Metal (MSM) Photodiodes 6. Charge Coupled Devices and CMOS Image Sensors 7. Photocondu
School: Stanford
Course: Semiconductor Optoelectronic Devices
1/6/13 Gentle Reminder ! MIDTERM Tuesday, February 12, 2013 Open book, open notes, 1 page summary sheet Practice midterm exams and solutions posted on CCNET. ! EE243. Semiconductor Optoelectronic Devices (Winter 2013) Prof. J. S. Harris ! 1
School: Stanford
Course: Semiconductor Optoelectronic Devices
1/6/13 EE243 Semiconductor Optoelectronic Devices ! Prof. James Harris! Room 328, Paul Allen Center for Integrated Systems (CISX)! ! Harris@snow.stanford.edu! Web Page - http:/ee.stanford.edu/~harris! (650) 723-9775, (650) 723-4659 fax! Ofce Hours 2: 05 2
School: Stanford
Course: Semiconductor Optoelectronic Devices
1/6/13 Lecture 9! Ch. 4 pn Junction Diodes (2) 6. Diodes in Optoelectronics 1 7. Formation of the Depletion Region 4 8. Currents in Diodes 17 9. Capacitances in Diodes 28 * Reading: Ch 4 Notes, Bhattacharya pp. 158-184 ! EE243. Semiconductor Optoelectro
School: Stanford
Course: Semiconductor Optoelectronic Devices
1/6/13 Lecture 2! Ch. 1 Review of Basic Semiconductor Physics(1) 1. Crystals and Lattices 2 2. Semiconductor Band Structures 3. Band Structure and the Brillouin Zones 10 4. Kane Band Theory Results 21 5. Density of States 29 6. Semiconductor Sta
School: Stanford
Course: Semiconductor Optoelectronic Devices
1/17/13 Lecture 4! Ch. 2 Heterostructures(2)! ! 5. Quantum Connement and Quantum Wells ! ! ! !2! 6. Band Parameters of Ternary and Quaternary Materials ! !7! 7. Epitaxial Growth of Heterostructures! ! ! ! 10! 8. Liquid Phase Epitaxy (LPE) ! ! ! ! 14! !
School: Stanford
Course: Semiconductor Optoelectronic Devices
1/29/13 Lecture 7! Ch. 3 Optical Properties of Semiconductors (3)! ! 9. Gain in Direct Gap Semiconductors ! ! 10. Spontaneous Emission ! ! ! 11. Optical Refraction ! ! ! ! 13. Change of Index ! ! ! ! 14. Plasma Contributions ! ! ! ! ! ! ! ! ! ! 2! ! ! !
School: Stanford
Course: Semiconductor Optoelectronic Devices
1/6/13 Lecture 6! Ch. 3 Optical Properties of Semiconductors (2)! ! 5. Free Carrier Absorption ! ! ! ! ! !2! ! ! 11! ! 6. Optical Emission - Einstein A and B Coefcients 6.1 Stimulated Emission! 6.2 Spontaneous Emission! ! 7. Net Absorption and Gain - Di
School: Stanford
Course: Semiconductor Optoelectronic Devices
! Band Parameters for GaxIn1- xAsyP1- y For GaxIn1- xAsyP1- y lattice matched to InP, some quoted values of parameters include! y = 2.2x (required for lattice match).! Eg = 1.35 0.72y + 0.12y2 at 300K! me/mo = 0.080 - 0.39y mhh/mo = 0.46 mlh/mo = 0.12 - 0
School: Stanford
Course: Semiconductor Optoelectronic Devices
1/6/13 Lecture 3B! Ch. 2 Heterostructures(1) 1. Lattice Constants and Bandgap Energies of Various Materials 2 2. Lattice Matched and Mis-matched (Strained) Materials 6 3. Band Offsets and Band Line-ups 9 4. Band Diagramming 14 * Reading: Ch 2 Reader, Bh
School: Stanford
Course: Semiconductor Optoelectronic Devices
1/15/13 Lecture 3A! Ch. 1 Review of Basic Semiconductor Physics(2)! ! ! ! ! 7. Non-degenerate Semiconductors ! ! ! ! ! !2! 8. Degenerate Semiconductors ! ! ! ! 11! ! ! ! ! ! ! ! ! ! ! ! * Reading: Ch 1 Reader, Bhattacharya pp. 82-94 ! EE243. Semiconduct
School: Stanford
Course: Introduction To Statistical Signal Processing
Second-order moments EE 278 Lecture Notes # 4 Winter 20102011 Second-order moments the mean and covariance/autocorrelation play a key role in signal processing, especially in linear least squares estimation. Second-order Input/Output Relations Completely
School: Stanford
Course: Introduction To Statistical Signal Processing
Random Processes EE 278 Lecture Notes # 1 Winter 20102011 or random signals, stochastic processes Introduction EE278: Introduction to Statistical Signal Processing, winter 20102011 January 4, 2011 R.M. Gray 1 EE278: Introduction to Statistical Signal Proc
School: Stanford
Course: Introduction To Statistical Signal Processing
EE 278 Lecture Notes # 2 Winter 20102011 Probability Space Probability assigns a measure like length, area, volume, weight, mass to events = sets in some space Probability Usually involves sums (discrete probability) or integrals (continuous) Review and e
School: Stanford
Course: Introduction To Statistical Signal Processing
Random Variables EE 278 Lecture Notes # 3 Winter 20102011 Probability space (, F , P) Random variables, vectors, and processes A (real-valued) random variable is a real-valued function dened on with a technical condition (to be stated) Common to use uppe
School: Stanford
Course: Introduction To Statistical Signal Processing
Averages EE 278 Lecture Notes # 4 Winter 20102011 Two types of averages of interest for rp cfw_Xn: Expectation and Averages E(Xn) Expectation, probabilistic average N1 1 Xn n N n=0 lim Time or sample average Or, if f a function, N1 1 f (Xn) n N n=0 E[ f
School: Stanford
Course: VLSI Signal Conditioning Circuits
Dynamic-Offset Cancellation Techniques Kofi Makinwa Electronic Instrumentation Laboratory Delft University of Technology Delft, The Netherlands email: k.makinwa@ieee.org EE315a Handout # 17 Motivation Many analog circuits e.g. opamps, integrators, compar
School: Stanford
Course: Digital Signal Processing
Digital Signal Processing Lecture 17a Parametric Signal Modeling: Problem Formulation and Solution ! Connections " Lecture segments! Lecture 16c! Reading in DTSP3e! Sections 11.1 and 11.2! ! ! Ronald W. Schafer ! Department of Electrical Engineering !
School: Stanford
Course: Digital Signal Processing
Digital Signal Processing Lecture 17c Parametric Signal Modeling: Computing Correlations and Solving the Equations ! Connections " Lecture segments! Lecture 17a & 17b (if you slogged through the details of the derivation)! Reading in DTSP3e! Section 1
School: Stanford
Course: Digital Signal Processing
Connections " Digital Signal Processing Lecture 17b Parametric Signal Modeling: Details of Derivation ! Lecture segments! Lecture 16c, 17a (gives main results without the details of the derivations)! Reading in DTSP3e! Sections 11.1 and 11.2! ! Ronald
School: Stanford
Course: Digital Signal Processing
Digital Signal Processing Lecture 16c The Blackman-Tukey Method of Power Spectrum Estimation " Ronald W. Schafer ! Department of Electrical Engineering ! Connections ! Lecture segments! Lecture 16a, 16b! Reading in DTSP3e! Section 10.6! R. B. Blackma
School: Stanford
Course: Digital Signal Processing
Digital Signal Processing Lecture 15d Time-Dependent Fourier Synthesis and Processing " Connections " Lecture segments! Lectures 15a, 15b and 15c! Reading in DTSP3e! Section 10.3.5 10.3.7! ! Ronald W. Schafer ! Department of Electrical Engineering ! S
School: Stanford
Course: Digital Signal Processing
Connections " Digital Signal Processing Lecture 16b The Welch Method of Power Spectrum Estimation ! Ronald W. Schafer ! Department of Electrical Engineering ! Stanford University ! Lecture segments! Lecture 15a 15d & 16a! Reading in DTSP3e! Sections 1
School: Stanford
Course: Digital Signal Processing
Connections ! Digital Signal Processing Lecture 16d Example of B-T Method of Power Spectrum Estimation " Ronald W. Schafer ! Department of Electrical Engineering ! Lecture segments! Lecture 16a, 16b, 16c! Reading in DTSP3e! Section 10.6! R. B. Blackm
School: Stanford
Course: Digital Signal Processing
Connections " Digital Signal Processing Lecture 16a The Periodogram Estimate of Power Spectrum ! Lecture segments! Lectures 15a, 15b, 15c, 15d! Reading in DTSP3e! Section 10.5.1 & 10.5.2! ! Ronald W. Schafer ! Department of Electrical Engineering ! St
School: Stanford
Course: Digital Signal Processing
Connections " Digital Signal Processing Lecture 15c Sampling and Displaying the STFT: Spectrograms " Lecture segments! Lectures 14d, 14e, and 15a! Reading in DTSP3e! Section 10.3 and 10.4! ! Ronald W. Schafer ! Department of Electrical Engineering ! S
School: Stanford
Course: Digital Signal Processing
Connections ! Digital Signal Processing Lecture 14e Spectrum Analysis of Sinusoidal Signals " Lecture segments! Lecture 14d! Reading in DTSP3e! Section 10.2! ! Ronald W. Schafer ! Department of Electrical Engineering ! Stanford University ! ! R. W. Sc
School: Stanford
Course: Digital Signal Processing
Digital Signal Processing Lecture 15a Time-Dependent Fourier Analysis " Connections " Lecture segments! Lectures 14d and 14e! Reading in DTSP3e! Section 10.3.1 10.3.3! ! Ronald W. Schafer ! Department of Electrical Engineering ! Stanford University !
School: Stanford
Course: Digital Signal Processing
Digital Signal Processing Lecture 15b Time-Dependent Fourier Analysis and Linear Filtering " Connections " Lecture segments! Lectures 14d, 14e and 15a! Reading in DTSP3e! Section 10.3.2! ! Ronald W. Schafer ! Department of Electrical Engineering ! St
School: Stanford
Course: The Fourier Transform And Its Applications
EE261 Raj Bhatnagar Summer 2009-2010 EE 261 The Fourier Transform and its Applications Midterm Examination 19 July 2010 (a) This exam consists of 4 questions with 12 total subparts for a total of 50 points. (b) The questions dier in length and diculty. Do
School: Stanford
Course: Basic Physics For Solid State Electronics
1. Semiconductor carrier statistics (40 points) Consider a semiconductor with a face-centered cubic lattice and with cubic symmetry. The valence band has a maximum at with an energy E = 0 and with an effective mass m0 = me. (me is the mass of a free elect
School: Stanford
EE263 Dec. 56 or Dec. 67, 2008. Prof. S. Boyd Final exam This is a 24 hour take-home nal exam. Please turn it in at Bytes Cafe in the Packard building, 24 hours after you pick it up. Please read the following instructions carefully. You may use any books,
School: Stanford
Course: Principles And Models Of Semiconductor Devices
c hv.jz d u e I+"1- e lec<i. cfw_ ra/ - v o l t e-19 f de '77 = *r" tr = erLlpJX J e=-# o( V = - leax ("/ q<o.bJic- fu) q I 'lea uo, l " P " 6 r^x v lN lr"u p-tL Q"wJ- conv,cts (q) tlr Qa @e Fy'h,-r. " .^*oo b/u Sr X AI , ^,.,- ^ r. lr, + h-rn "- " o", t
School: Stanford
Course: Introduction To Communication Systems
EE 279 Professor Cox Solution to Final 1. (12pt) a) ii) b) i) iii) c) i) iv) d) vi) 2. (35pt) t Winter 2005-2006 HO # In phase-acceleration modulation we have: f (t ) = f c + K ! x(" )d" . Therefore to recover the signal we should extract the phase
School: Stanford
Course: Circuits I
E EI O I A FINAL WINTER0 9 NAME I.D.N UMBER SIGNATURE TIME : 3 H OURS OPENB OOKS,O PENN OTES NO P C o TW IRELESSC OMMUNICATION D EVICE STATE Y OUR A SSUMPTIONS ND R EASONING A NO C REDIT F OR A NSWERS ITHOUT R EASONING W (1) (2) ( 3) (4) n6 n6 n2 n6 130 (
School: Stanford
Course: Fourier Transform And Application
EE 261 The Fourier Transform and its Applications Fall 2012 Final Exam Solutions 1. (15 points)Finding Fourier transforms: The following two questions are independent. (a) (5) In communications theory the analytic signal fa (t) of a signal f (t) is dened,
School: Stanford
Course: Semiconductor Optoelectronic Devices
EE243. Semiconductor Optoelectronic Devices (Winter 2011) B.G. Park EE 243 Final 1. LED (30 points) (a) (3 points) = 1.24 1.24 = = 0.87 (m) E g 1.42 (b) (5 points) i = 1 / rad 1 / 10 9 1 = = = 0.91 9 8 1 / rad + 1 / non rad 1 / 10 + 1 / 10 1.1 (c) (5 poin
School: Stanford
Course: Semiconductor Optoelectronic Devices
EE243. Semiconductor Optoelectronic Devices (Winter 2011) B.G. Park EE 243 Midterm EXAM TIME: 1 hour 30 minutes Total Score: 100; Number of Problems: 5 Make sure to STATE ALL ASSUMPTIONS you make. The following values and equations may be helpful: EG (Alx
School: Stanford
Course: Semiconductor Optoelectronic Devices
EE243 Midterm (Winter 2012) J.S.Harris EE 243 Final Exam Thursday, March 22, 2012, 3:30 6:30 pm Total Score: 200; Number of Problems: 7 NAME _ (LAST) (FIRST) I acknowledge and accept the Honor Code (Signed) _ STUDENT ID # _ State all your assumptions. Cle
School: Stanford
Course: Semiconductor Optoelectronic Devices
EE243 Midterm (Winter 2012) J.S.Harris EE 243 Midterm Exam Tuesday, February 14, 2012, 12:50 2:05 pm Total Score: 100; Number of Problems: 5 NAME _ (LAST) (FIRST) I acknowledge and accept the Honor Code (Signed) _ STUDENT ID # _ State all your assumptions
School: Stanford
Course: Semiconductor Optoelectronic Devices
EE 243 Winter 2010 Midterm Exam J.S. Harris Midterm Exam Tuesday, February 16, 2010, 12:50 2:05 pm Make sure to STATE ALL ASSUMPTIONS you make. The following values may be helpful: GaAs EG = 1.424 eV at T = 300K NV (GaAs) at 300K = 8.87 x 1018 cm-3 me*(Ga
School: Stanford
Course: Semiconductor Optoelectronic Devices
EE 243 Winter 2010 Final Exam J.S. Harris Final Exam Wednesday, March 17, 2010, 7.00 10.00 pm Make sure to STATE ALL ASSUMPTIONS you make. The following values may be helpful: GaAs EG = 1.424 eV at T = 300K NV (GaAs) at 300K = 8.87 x 1018 cm-3 me*(GaAs) =
School: Stanford
Course: Semiconductor Optoelectronic Devices
TA : Xho .- ,q r So\.r\iocs Ero.o *e = Ao- E(es+^) srte"*+-> m. t" = + Ffe = q.oa ; 1-4-.*-j'/r - r.-r - Li slq$s'\iqs. dean e,-o+e. o.2.a-+e.v a\o-<_ ht3!\ <Ie^s'b .F 3ec\r\^.sc qssw.r\c- d.pi"q. . + -* a='t / . Assv\(-Ee=:-ev, . f,="."s ? o h,.h Dcq.,.S
School: Stanford
Course: Semiconductor Optoelectronic Devices
EE243 Midterm (Winter 2012) J.S.Harris EE 243 Final Exam Solutions Problem 1 (28 points, 4 points each) Short Answer Questions a) What are the two main types of transitions used for spontaneous emission? Give an example of LED (material, wavelength) for e
School: Stanford
Course: Semiconductor Optoelectronic Devices
EE243. Semiconductor Optoelectronic Devices (Winter 2011) B.G. Park EE 243 Final EXAM TIME: 3 hours Total Score: 180; Number of Problems: 7 Make sure to STATE ALL ASSUMPTIONS you make. The following values and equations may be helpful: EG (AlxGa1-xAs) at
School: Stanford
Course: Semiconductor Optoelectronic Devices
1. a) b) c) d) e) f) g) h) i) j) PlanarIClikeprocessing 2dimensionalarrays Enableintegration Smallcircularbeam Wideaxialmodespacing,possibilityforbroadandcontinuouswavelengthtuning.\ Easytotest No. The requirement for optical transparency is the differenc
School: Stanford
Course: Semiconductor Optoelectronic Devices
EE243 Final (Winter 2013) J.S.Harris EE 243 Final Exam Tuesday, March 21, 2013, 7:00 10:00 pm Total Score: 200; Number of Problems: 7 NAME _ (LAST) (FIRST) I acknowledge and accept the Honor Code (Signed) _ STUDENT ID # _ State all your assumptions. Clear
School: Stanford
Course: Semiconductor Optoelectronic Devices
EE243 Midterm (Winter 2013) J.S.Harris EE 243 Midterm Exam Tuesday, February 12, 2013, 12:50 2:05 pm Total Score: 100; Number of Problems: 5 NAME _ (LAST) (FIRST) I acknowledge and accept the Honor Code (Signed) _ STUDENT ID # _ State all your assumptions
School: Stanford
EE243 Midterm (Winter 2012) J.S.Harris EE 243 Midterm Exam Tuesday, February 14, 2012, 12:50 2:05 pm Total Score: 100; Number of Problems: 5 NAME _ (LAST) (FIRST) I acknowledge and accept the Honor Code (Signed) _ STUDENT ID # _ State all your assumptions
School: Stanford
EE243 Midterm (Winter 2012) J.S.Harris EE 243 Midterm Exam Solutions Problem 1 (15 points) Short Answer Questions a) As we increase the Aluminum content in AlGaAs, it changes from a direct to an indirect bandgap semiconductor. At this transition there is
School: Stanford
EE243 Midterm (Winter 2013) EE 243 J.S.Harris Midterm Exam Tuesday, February 12, 2013, 12:50 2:05 pm Total Score: 100; Number of Problems: 5 NAME _ (LAST) (FIRST) I acknowledge and accept the Honor Code (Signed) _ STUDENT ID # _ State all your assumptions
School: Stanford
1. (1) GaAs is a direct bandgap materialradiative reco mbination; GaAs has a low electron effective masseasy to pump (2) Higher effective mass for holes higher density of states Inter-valenceband absorption (3) Fermi-Dirac distribution is the general dist
School: Stanford
Course: Introduction To Digital Communication
EE279 Introduction to Digital Communication Handout 13 Midterm solutions Stanford University (A) Solution 1. (a) (i) It is sucient to consider cfw_s0 (t) as the basis. Hence the MAP receiver can be implemented using a matched lter as follows: (A) Pass the
School: Stanford
Course: Introduction To Digital Communication
EE279 Introduction to Digital Communication Handout 11 Midterm examination Stanford University February 12, 2014 Problem 1. Small problems (25 points) None of these questions require any long computations. The answers should follow almost immediately from
School: Stanford
Course: Introduction To Digital Communication
EE279 Introduction to Digital Communication Handout 11 Midterm solution Stanford University February 12, 2014 Solution 1. (a) (i) We can form Y = (Y1 + Y2 )/2 = B + Z where Z N (0, 2 /2). Since Y contains less noise than Y1 , it allows to decode B with a
School: Stanford
Course: Introduction To Digital Communication
EE279 Introduction to Digital Communication Stanford University Handout 21 Final solutions Solution 1. (Binary Communication Across the Vector Gaussian Channel with NonIdentity Covariance Matrix) (a) As we have seen in class, the optimal decision regions
School: Stanford
Course: Introduction To Digital Communication
EE279 Introduction to Digital Communication Handout Final examination Stanford University March 19, 2014 Problem 1. Binary Symmetric Channel (25 points) Let the communication channel between a transmitter and a receiver be a BSC (binary 1 Symmetric Channe
School: Stanford
Course: Introduction To Digital Communication
EE279 Introduction to Digital Communication Handout 20 Final examination Problem 1 Stanford University March 18, 2013 (12 points) X H cfw_0, 1 - TX - Y H - 6 RX - Z N (0, Kz ) Consider the binary communication problem across the vector Gaussian channel de
School: Stanford
Course: Introduction To Digital Communication
Figure 1: Probability of error as a function of p. EE279 Introduction to Digital Communication Stanford University March 19, 2014 Handout Final examination Solution 1. Binary Symmetric Channel (25 points) 1. (5 points) L(0) = 1 , L(1) = . 1 2. (10 points)
School: Stanford
Course: Convex Optimization I
EE364 Convex Optimization June 7 8 or June 8 9, 2006. Prof. S. Boyd Final exam You may use any books, notes, or computer programs (e.g., Matlab, cvx), but you may not discuss the exam with anyone until June 10, after everyone has taken the exam. The only
School: Stanford
Course: Convex Optimization I
EE364a Convex Optimization I March 1415 or March 1516, 2008. Prof. S. Boyd Final exam You may use any books, notes, or computer programs (e.g., Matlab, cvx), but you may not discuss the exam with anyone until March 18, after everyone has taken the exam. T
School: Stanford
EE261 Fourier Transform and its Applications Almir Mutapcic July 15 and 17, 2005 EE261 midterm exam solutions 1. Fourier transforms. (25 points) Find the Fourier transform of the following signals. (Hint : You can solve this problem without computing any
School: Stanford
Course: INTRODUCTION TO LINEAR DYNAMICAL SYSTEMS
EE263 Dec. 56 or Dec. 67, 2008. Prof. S. Boyd Final exam solutions 1. Blind signal detection. A binary signal s1 , . . . , sT , with st cfw_-1, 1 is transmitted to a receiver, which receives the (vector) signal yt = ast + vt Rn , t = 1, . . . , T , where
School: Stanford
Course: Convex Optimization I
6.079/6.975 December 1011, 2009. S. Boyd & P. Parrilo Final exam This is a 24 hour take-home final exam. Please turn it in to Professor Stephen Boyd, (Stata Center), on Friday December 11, at 5PM (or before). You may use any books, notes, or computer prog
School: Stanford
Course: Convex Optimization I
6.079/6.975 October 2930, 2009. S. Boyd & P. Parrilo Midterm exam This is a 24 hour take-home midterm exam. Please turn it in to Professor Pablo Parrilo, (Stata Center), on Friday October 30, at 5PM (or before). You may use any books, notes, or computer p
School: Stanford
EE368/CS232 - Midterm Exam 24-hour take-home exam, 3 slots in May 22-25, 2013. Each slot begins at 5:00pm and ends at 5:00pm the next day. Please respect the Stanford Honor Code. You may use the lecture notes, your own notes, or any book to solve the exam
School: Stanford
Course: Introduction To Linear Dynamical Systems
EE263 Oct. 27 28 or Oct. 28 29, 2006. Prof. S. Boyd Midterm exam solutions 1. Point of closest convergence of a set of lines. We have m lines in Rn , described as Li = cfw_pi + tvi | t R, i = 1, . . . , m, where pi Rn , and vi Rn , with vi = 1, for i = 1,
School: Stanford
Course: Introduction To Linear Dynamical Systems
EE263 Oct. 2627 or Oct. 2728, 2007. Prof. S. Boyd Midterm exam This is a 24 hour take-home midterm. Please turn it in at Bytes Cafe in the Packard building, 24 hours after you pick it up. Please read the following instructions carefully. You may use any
School: Stanford
Course: Introduction To Linear Dynamical Systems
EE263 Oct. 27 28 or Oct. 28 29, 2006. Prof. S. Boyd Midterm exam This is a 24 hour take-home midterm. Please turn it in at Bytes Cafe in the Packard building, 24 hours after you pick it up. Please read the following instructions carefully. You may use an
School: Stanford
Course: Introduction To Linear Dynamical Systems
EE263 Dec. 89 or Dec. 910, 2006. Prof. S. Boyd Final exam solutions 1. Analysis and optimization of a communication network. A communication network is modeled as a set of m directed links connecting nodes. There are n routes in the network. A route is a
School: Stanford
Course: Introduction To Linear Dynamical Systems
EE263 Dec. 89 or Dec. 910, 2006. Prof. S. Boyd Final exam This is a 24 hour take-home nal exam. Please turn it in at Bytes Cafe in the Packard building, 24 hours after you pick it up. Please read the following instructions carefully. You may use any book
School: Stanford
Course: Introduction To Linear Dynamical Systems
Quiz questions for 1, Matrix terminology and notation. True or false? 1. By convention, we consider [0.1 0.3] and 0.1 0.3 to be the same. 12 2. The matrix 0 1 has dimensions 2 3. 2 1 12 01 only, which is zero. 3. The matrices 120 010 and are equal, since
School: Stanford
Course: Information Theory
EE 376B Information Theory Prof. T. Cover Handout #18 Thursday, June 2, 2011 Practice Final Examination 1. Slepian Wolf (30 pts) We do a coin-ip experiment repeatedly. In each experiment, we keep ipping a biased coin with probability p of getting a head u
School: Stanford
Course: Information Theory
EE 376B/Stat 376B Information Theory Prof. T. Cover Handout #20 Saturday, June 5, 2011 Practice Final Exam 2 1. Entropy rate. (10) Let cfw_Zn be i.i.d. N (0, 2 ). What is the dierential entropy rate h(X ) of the stationary process 1 1 Xn+1 = Xn + Xn1 + Z
School: Stanford
Course: Information Theory
EE 376B Information Theory Prof. T. Cover Handout #19 Thursday, June 2, 2011 Solutions to practice Final Examination 1. Slepian Wolf (30 pts) We do a coin-ip experiment repeatedly. In each experiment, we keep ipping a biased coin with probability p of get
School: Stanford
Course: Information Theory
EE 376B/Stat 376B Information Theory Prof. T. Cover Handout #21 Tuesday, June 5, 2011 Solutions to Practice Final Exam 2 1. Entropy rate. (10) Let cfw_Zn be i.i.d. N (0, 2 ). What is the dierential entropy rate h(X ) of the stationary process 1 1 Xn+1 =
School: Stanford
Course: Introduction To Communication Systems
EE279 Introduction to Digital Communication Handout 13 Midterm solutions Stanford University (A) Solution 1. (a) (i) It is sucient to consider cfw_s0 (t) as the basis. Hence the MAP receiver can be implemented using a matched lter as follows: (A) Pass the
School: Stanford
Course: Introduction To Communication Systems
EE279 Introduction to Digital Communication Handout 11 Midterm examination Stanford University February 13, 2013 Problem 1. Two Signal Sets (24 points + 6 points bonus) Consider the following two signal sets. D T 2T t 2T t D (A) s0 (A) (t) s1 (t) Figure 1
School: Stanford
Course: Computer Systems Architecture
CS143 Winter 2006 Handout 36 March 22, 2006 CS143 Final Exam This is an open-note exam. You can refer to any course handouts, handwritten lecture notes, and printouts of any code relevant to a CS143 assignment. You may not use any laptops, cell phones, or
School: Stanford
Course: Computer Systems Architecture
CS143 Summer 2008 Final Exam 15-August-2008 Summer 2008 Final Exam Your Name: SUNet ID: Instructions: Honor. You must complete this exam alone and in the time specied. You must follow the Stanford Honor Code. Time Limit. You have from 4:00pmPDT Friday A
School: Stanford
Course: Computer Systems Architecture
CS143 Summer 2008 August 13, 2008 CS143 Practice Final Solution Solution 1 A C comment beings with /* and ends with the first subsequent */. For each of the following regular expressions, indicate whether it exactly recognizes the language of C comments.
School: Stanford
Course: Computer Systems Architecture
CS143 Final Exam Solutions (2006 exam) (1) (a) abcABC123 321CBAcba BaB1cAb AAAAacac1231 271 2221 6431 71 (b) S Sa | a | (c) I0: S S, $ S , $/( S [ S ] S, $/( S S ( S ), $/( On [, shift/goto I1 I1: S [ S ] S, $/( S , ]/( S [ S ] S, ]/( S S ( S ), ]/( Reduc
School: Stanford
Course: Computer Systems Architecture
CS143 Summer 2008 August 13, 2008 CS143 Practice Final Material The final will cover material from all lectures, but will focus a bit more on the second half (semantic analysis, code generation, implementation issues). Material similar to the homework wil
School: Stanford
Course: Computer Systems Architecture
EE108B: Digital Systems II Stanford University Winter 11/12 nd Thursday, March 22 , 2012 EE108B Quiz 2 Quiz Instructions: Answer each of the questions included in the exam. Write all of your answers directly on the e
School: Stanford
Course: Computer Systems Architecture
EE108B: Digital Systems II Stanford University Winter 11/12 nd Thursday, March 22 , 2012 EE108B Quiz 2 Quiz Instructions: Answer each of the questions included in the exam. Write all of your answers directly on the e
School: Stanford
Course: Computer Systems Architecture
!"#"$%&'()*+,$-./*+'/$0,123*+1*),+$ -*94:&,;$<43=+,/3*.$ -(,345$"67787"$ 4; >9.$" ?$"67"$ !"#"$@)3A$7$-&B)*3&4/$ !"#$%& '()*#C$ D2+$+E9'349*3&4$3/$1B&/+;$F&G?$F)*$.&)$194$'9G+$)/+$&:$&4+$(95+$&:$4&*+/?$94;$9$ 19B1)B9*&,H$I&)$'9.$4&*$)/+$9$1&'()*+,$&:$94.$
School: Stanford
EE 237: Solar Energy Conversion Week 7: Thin film technologies CdTe CIGS a-Si OPV May 13th 2013 tanford University 1 Quiz: Who made this ? tanford University 2 Quiz: Who made this ? 1 2 Suntech tanford University 3 Yingli Trina 3 Quiz: Who made this ? tan
School: Stanford
EE 237: Solar Energy Conversion Week 6: Module Level Issues Microinvertor Limit to light concentration May 8th 2013 tanford University 1 Nominal Operating Cell Temperature http:/www.pveducation.org tanford University EE 237 : Aneesh Nainani 2 Mismatched c
School: Stanford
EE 237: Solar Energy Conversion Week 3: Thermodynamic Limits to Solar Energy Conversion & Crystalline Si based solar cells April 15 2013 tanford University 1 SQ Limits for Multi Junction Cell 1 cell: 32%, 41% [1-sun, concentrated] 2 cell: 42, 55% 3 cell:
School: Stanford
Course: Information Theory
EE376A: Homeworks #6 Solutions 1. Cascaded BSCs. Consider the two discrete memoryless channels (X , p1 (y |x), Y ) and (Y , p2 (z |y ), Z ). Let p1 (y |x) and p2 (z |y ) be binary symmetric channels with crossover probabilities 1 and 2 respectively. 1 1 0
School: Stanford
Course: Digital MOS Integrated Circuits
EE313 Winter 2009-10 J. Kim & M. Horowitz Handout #8 page 1 of 10 SOLUTIONS TO HOMEWORK #0 Problem # 1 (1.1) Run HSPICE on etude1.sp. (1.2) Use CScope to look at the DC transfer characteristic curves. Notice that inverters with different ratios have diffe
School: Stanford
Course: The Fourier Transform And Its Applications
EE261 Raj Bhatnagar Summer 2010-2011 EE 261 The Fourier Transform and its Applications Problem Set 1 Due Wednesday, June 29 1. (10 points) Some practice with complex numbers (a) Express the following numbers in polar form: (i) (ii) (iii) (iv) (b) For (i)
School: Stanford
Course: Introduction To Statistical Signal Processing
EE 278B Statistical Signal Processing October 20, 2011 Handout #6 Homework #4 Due Thursday, October 27 1. Coloring and whitening. Let 210 = 1 2 1 . 012 a. Find the coloring and whitening matrices of using the eigenvalue method discussed in lecture slides
School: Stanford
Course: Introduction To Statistical Signal Processing
EE 278B Statistical Signal Processing October 29, 2011 Handout #9 Homework #4 Solutions 1. (10 points) Coloring and whitening. a. We denote the eigenvalue and eigenvector matrices of as and U , respectively. After using linear algebra methods (or Matlab,
School: Stanford
EE 284 F. Tobagi Autumn 2010-2011 EE284 Homework Assignment No. 1 Topic: Switching Techniques, Network Topologies Handed out: September 21, 2010 Due: September 30, 2010 in class (Previously September 28 but now extended by 2 days) Total Points: 45 ALL WOR
School: Stanford
Course: Fourier Transform And Application
EE 261 The Fourier Transform and its Applications Fall 2012 Problem Set Nine Due Friday, December 7 1. (20 points) 2D Fourier Transforms Find the 2D Fourier Transforms of: (a) sin 2ax1 sin 2bx2 Solution: Because the function is separable we have F (sin 2a
School: Stanford
Course: Introduction To Statistical Signal Processing
EE 278B Statistical Signal Processing Tuesday, December 6, 2011 Handout #19 Homework #7 Solutions 1. (20 points) Autocorrelation functions. a. The mean function is X (t) = E[At + B ] = E[A]t + E[B ] = 0. The autocorrelation function is RX (t1 , t2 ) = E[(
School: Stanford
Course: Introduction To Statistical Signal Processing
EE 278 Statistical Signal Processing Homework #8 Due: Wednesday, December 2 November 18, 2009 Handout #18 1. Discrete-time Wiener process. Let cfw_Zn : n 0 be a discrete-time white Gaussian noise process; that is, Z1 , Z2 , Z3 , . . . are i.i.d. N (0, 1).
School: Stanford
Course: Introduction To Statistical Signal Processing
EE 278 Statistical Signal Processing Homework #7 Solutions November 20, 2009 Handout #19 1. Convergence examples. Consider the following sequences of random variables dened on the probability space (, F , P), where = cfw_0, 1, . . . , m 1, F is the collec
School: Stanford
Course: The Fourier Transform And Its Applications
EE 261 The Fourier Transform and its Applications Fall 2009 Solutions to Problem Set One 1. Some practice with geometric sums and complex exponentials (5 points each) Well make much use of formulas for the sum of a geometric series, especially in combinat
School: Stanford
Course: Introduction To Statistical Signal Processing
EE 278B Statistical Signal Processing Thursday, November 17, 2011 Handout #16 Homework #7 Due Thursday, December 1 1. Autocorrelation functions. Find the autocorrelation functions of a. the process X (t) = At + B of problem 2 in homework 6. b. the process
School: Stanford
Course: Introduction To Statistical Signal Processing
EE 278B Statistical Signal Processing October 13, 2011 Handout #4 Homework #3 Due Thursday, October 20 1. Estimation vs. detection. Signal X and noise Z are independent random variables, where X= +1 with probability 1 with probability 1 2 1 , 2 and Z U[2,
School: Stanford
Course: The Fourier Transform And Its Applications
EE261 Raj Bhatnagar Summer 2010-2011 EE 261 The Fourier Transform and its Applications Problem Set 3 Due Wednesday 13 July 1. (15 points) Convolution and cross-correlation The cross-correlation (sometimes just called correlation) of two real-valued signal
School: Stanford
Course: Analog Integrated Circuit Design
EE214 Winter 04/05 Page 1 of 1 HOMEWORK #2 Solutions (Due: Monday, October 11, 2004, noon PT) 1. Use Spice to simulate gm/ID vs. VOV, (e.g. as shown on slides 3 and 4 of lecture 4). a) Generate a plot of gm/ID for EE214 NMOS devices with L=0.35m and
School: Stanford
Course: VLSI Signal Conditioning Circuits
EE315A Spring 2009 B. Murmann Page 1 of 3 HOMEWORK #5 (Due: Tuesday, May 12, 2009, 1pm PT) 1. Consider the idealized single-stage OTA feedback circuit shown below. The OTA is described by the "OTA1" behavioral model discussed in class and has the followin
School: Stanford
Course: Probability
EE 178 Probabilistic Systems Analysis Homework #2 Due Thursday, January 24, 2008 Handout #2 January 17, 2008 1. Catching the train. The probability that Riddley Walker goes for a run in the morning before work is 2/5. If he runs then the probabilit
School: Stanford
Course: Analog Integrated Circuit Design
EE214 Winter 04/05 B. Murmann Handout #4 Page 1 of 2 HOMEWORK #1 (Due: Monday, October 4, 2004, noon PT) You will not need (and should not use) Spice for any part of this problem set. Use simple long channel MOS models in all problems and ignore fi
School: Stanford
EE 261 Fourier Transform and Applications February 16, 2011 Handout #13 Homework #5 Due Friday, February 25 1. Exercises on distributions. a. Let g (t) be a Schwartz function. Show that g (t) (t) = g (0) (t) g (0) (t) . b. Let Tf be the distribution induc
School: Stanford
Course: Integrated Circuit Fabrication Processes
EE 212 FALL 09-10 HOMEWORK ASSIGNMENT #2 ASSIGNED: THURSDAY OCT. 1 DUE: THURSDAY OCT. 8 SOLUTION SHEET Reading Assignment: Chapters 3 and 4 in the text. #1. Spend 30 min or so scanning the information in the 2007 ITRS Front End Processes (on the class web
School: Stanford
Course: Circuits I
EE101A / Winter 2013 Prof. Simon Wong Homework #7 (Due March 6, 2013) You can use equations already derived in lecture notes or textbook. Please write your Name and Lab Section time on the front page. 1. Sedra & Smith, p. 341, Problem 5.79. The figure sho
School: Stanford
Course: Digital Systems I
EE108B Spring 2003-2004 Prof. Kozyrakis EE108b - Problem Set #1 Solutions (Total 100 points) This homework assignment helps you to be familiar with MIPS assembly language. A full reference guide for MIPS instructions is available in section A.10 (Appendix
School: Stanford
Course: VLSI Signal Conditioning Circuits
EE315A Spring 2009 B. Murmann Page 1 of 1 HOMEWORK #1 (Due: Thursday, April 9, 2009, 1pm PT) 1. Cadence warm-up. Work through the "Virtuoso Tutorial" handout available on the course website under "CAD". Submit a printout of the circuit schematic and phase
School: Stanford
Course: Digital MOS Integrated Circuits
EE313 Winter 09/10 J. Kim & M. Horowitz Handout # Page 1 of 16 HOMEWORK #3 SOLUTIONS 1. HSPICE Simulation for Velocity Saturated Model (25pts) In the lecture, we learned many short channel effects in MOS transistors. In this problem, you need to run HSPIC
School: Stanford
Course: The Fourier Transform And Its Applications
EE 261 The Fourier Transform and its Applications Fall 2009 Solutions to Problem Set Two 1. (10 points) A famous sum You cannot go through life knowing about Fourier series and not know the application to evaluating a very famous sum. Let S (t) be the saw
School: Stanford
Homework #1 EE 282 Autumn 2008 Professor Kozyrakis Homework Set 1 Due: Wednesday, 10/15/2008, 5pm Please work in groups of 3 students Instructions: Submit to the box outside Gates 310 by the due date above. Show your work, state your assumptions, and just
School: Stanford
Course: Stochastic Control
EE365, Spring 2011-12 Professors S. Boyd, S. Lall, and B. Van Roy EE365 Homework 1 solutions 1.1 Optimal disposition of a stock. You must sell a total amount B > 0 of a stock in two rounds. In each round you can sell any nonnegative amount of the stock; b
School: Stanford
Course: VLSI Signal Conditioning Circuits
EE315A Spring 2009 B. Murmann Page 1 of 2 HOMEWORK #2 (Due: Thursday, April 16, 2009, 1pm PT) 1. Design a 4th order Butterworth lowpass filter with 0.3 dB maximum attenuation (worst case) in the passband (0 Hz to 500 kHz) and a nominal gain of 1. Implemen
School: Stanford
Course: Convex Optimization I
EE364a, Winter 2011-12 Prof. S. Boyd EE364a Homework 4 solutions 5.27 Equality constrained least-squares. Consider the equality constrained least-squares problem minimize Ax b 2 2 subject to Gx = h where A Rmn with rank A = n, and G Rpn with rank G = p. G
School: Stanford
Course: Integrated Circuit Fabrication Processes
EE 212 FALL 09-010 HOMEWORK ASSIGNMENT #1 ASSIGNED: THURSDAY SEPT. 24 DUE: THURSDAY OCT. 1 ANSWER SHEET Reading Assignment: Chapters 1 and 2 in the text. #1. Spend 30 min or so scanning the information in the 2007 ITRS Executive Summary (on the class webs
School: Stanford
Course: Analog Integrated Circuit Design
6) c) The derivation below makes no assumptions, other than that the above-calculated small signal voltage gain accurately predicts the voltage swings at Vo1 and Vo2 and that the quiescent points do not shift in presence of the signal. The first stag
School: Stanford
Course: INTRODUCTION TO LINEAR DYNAMIC SYSTEM
EE263 Autumn 2011-12 Prof. S. Lall EE263 homework problems 1. A simple power control algorithm for a wireless network. First some background. We consider a network of n transmitter/receiver pairs. Transmitter i transmits at power level pi (which is positi
School: Stanford
Course: Convex Optimization I
EE364a, Summer 2011-12 N. Parikh EE364a Homework 5 solutions 8.3 Euclidean projection on proper cones. (a) Nonnegative orthant. Show that Euclidean projection onto the nonnegative orthant is given by the expression on page ?. Solution. The inner product o
School: Stanford
Course: Analog Integrated Circuit Design
EE214 Winter 04/05 B. Murmann Handout #7 Page 1 of 2 HOMEWORK #2 (Due: Monday, October 11, 2004, noon PT) 1. Use Spice to simulate gm/ID vs. VOV, (e.g. as shown on slides 3 and 4 of lecture 4). a) Generate a plot of gm/ID for EE214 NMOS devices wit
School: Stanford
Course: Introduction To Statistical Signal Processing
EE 278 Statistical Signal Processing Homework #5 Solutions October 30, 2009 Handout #12 1. Additive-noise channel with path gain. Consider the additive noise channel shown in the gure below, where X and Z are zero mean and uncorrelated, and a and b are co
School: Stanford
Course: Convex Optimization I
EE364a, Summer 2011-12 N. Parikh EE364a Homework 6 solutions 9.30 Gradient and Newton methods. Consider the unconstrained problem minimize f (x) = m i=1 log(1 aT x) i n i=1 log(1 x2 ), i with variable x Rn , and dom f = cfw_x | aT x < 1, i = 1, . . . ,
School: Stanford
Course: Radar Remote Sensing
GP265/EE355 Handout #8 Homework #2 Due Wednesday, January 22, by 4:00 PM in box outside my office, or in class. 1) Chirp compression. In the computer, create a data record consisting of 2048 complex samples, which contains a chirp signal with the followin
School: Stanford
Course: Radar Remote Sensing
GP265/EE355 Handout #18 Homework #4 Due Wednesday, Feb. 5, by 4:00 PM in box outside my office, or in class. 1. Download the data file ersdata.hw4 from the class web page. The format is the same as in the file for homework 2 (line length 10,218 bytes, hea
School: Stanford
Course: Radar Remote Sensing
GP265/EE355 Handout #13 Homework #3 Due Wednesday, Jan. 29, by 4:00 PM in box outside my office, or in class. 1. Consider a chirp signal with the following parameters: Chirp slope: Pulse length: Sample rate fs: Center frequency fc: 11 10 Hz/s 30 s 20 MHz
School: Stanford
Course: Radar Remote Sensing
GP265/EE355 Handout #41 Homework #9 Final Pt. 3 Due Wednesday, March 12, by 12:00 PM (noon) in box outside my office, or in class. You have derived an offset field and found the baseline components from the formula =B par +B dr perp r0 tan 0 My solution,
School: Stanford
Course: Radar Remote Sensing
Handout # 4 GP265/EE355 (Winter 2013-14) HOMEWORK SET NO. 1 Due: 1) January 15 by 4:30 pm a) Using a spread sheet of the form given in Handout no. 3, page 11, calculate the signal to noise ratio for the following system: Transmit power: Cable losses: 2500
School: Stanford
Course: Radar Remote Sensing
GP265/EE355 Handout #26 Homework #6 Due Wednesday, Feb. 19, by 4:00 PM in box outside my office, or in class. 1. Write an autofocus program to implement the sub-aperture shift algorithm. Use a 1-D image for ease of implementation. Assume the signal is a s
School: Stanford
Course: Radar Remote Sensing
GP265/EE355 Handout #29 Homework #7 Final Pt. 1 Due Wednesday, Feb. 26, by 4:00 PM in box outside my office, or in class. For the remainder of the term we will be combining homework assignments and the final project. This is the first of three installatio
School: Stanford
Course: Radar Remote Sensing
GP265/EE355 Handout #35 Homework #8 Final Pt. 2 Due Wednesday, March 5, by 4:00 PM in box outside my office, or in class. When you processed the first channel of data from the unknown radar system, you should have found the following system parameters, or
School: Stanford
Course: Radar Remote Sensing
GP 265/ EE355 Homework Set No. 5 Handout : #21 Due Wednesday, Feb 12, by 5:00 PM in box outside my office, or in class. Focused SAR processor 1. Consider a radar with the following parameters: Range modulation Chirp slope: 4.189166 1011 Hz/s Pulse length:
School: Stanford
Course: Semiconductor Optoelectronic Devices
EE24 Winter 2013 43 2 Ho omework 7 J.S.Harris EE 243 Homewo 7 ork Due Thurs sday, March 7, 2013, a 5 pm, CIS 329 h at SX 1. Re eflective modulator (30 points) m ( We are designing a reflec a ctive quant tum well m modulator, d desiring to achieve th he ma
School: Stanford
Course: Semiconductor Optoelectronic Devices
EE243 Winter 2013 Homework 3 J.S.Harris EE 243 Homework 3 Due Thursday, February 7, 2013, at 5 pm, in CISX 329 1. Absorption of thin film (10 points) A 1064 nm laser is shining on an unknown compound III-V semiconductor thin film in the optics lab. The fi
School: Stanford
Course: Semiconductor Optoelectronic Devices
EE243 Winter 2013 Homework 6 J.S.Harris EE 243 Homework 6 Due Thursday, Feb 28, at 5 pm, in class or CISX 329 1. Band Diagram of Solar Cell (30 points) (a) Consider an ideal pn junction with the ideal metal contacts on the two sides. Length of the device
School: Stanford
Course: Semiconductor Optoelectronic Devices
EE24 Winter 2013 43 2 Ho omework 5 J.S.Harris EE 243 Homewo 5 3 ork Du Thursday February 21, 2013, at 5 pm, in CISX 329 ue y, y olecular be eam epitax (MBE) growth (15 points) xy g 1. Mo Brief (no more than 5 se fly e entences) describe ho an 8nm In0.1Ga0
School: Stanford
Course: Semiconductor Optoelectronic Devices
EE24 Winter 2013 43 2 Ho omework 4 J.S.Harris EE 243 Homewo 4 3 ork Du Thursday February 14, 2013, at 5 pm, in CISX 329 ue y, y n ( 1. p-n junction (30 points) A sem miconductor sample is composed of 2 regions as shown belo Consider regions I r f s ow. an
School: Stanford
Course: Semiconductor Optoelectronic Devices
EE 243 Winter 2013 Homework 1 J.S. Harris EE 243 Homework 1 Due Thursday, January 24, 2013, at 5 pm, in CISX 329 1. Lattice types (15 points) Determine the packing fraction of a) simple cubic lattice; b) face-centered cubic lattice; c) diamond lattice, as
School: Stanford
Course: Semiconductor Optoelectronic Devices
EE 243 Winter 2013 Homework 2 J.S. Harris Due Thursday, January 31, 2013, at 5 pm, in CISX 329 1. Heterojunction (20 points) a) Roughly sketch the band diagram for a p-GaAs/N-AlxGa1-xAs (x=0.3) heterojunction without an external bias. The doping concentra
School: Stanford
Course: Semiconductor Optoelectronic Devices
EE243 Winter 2013 Homework 6 J.S.Harris EE 243 Homework 6 Solutions 1. Band Diagram of Solar Cell (30 points) (a) Long base Open circuit band diagram Fermi levels split and the gap between them is equal to Voc. Fermi levels remain flat throughout the devi
School: Stanford
Course: Semiconductor Optoelectronic Devices
EE24 Winter 2013 43 2 Ho omework 5 J.S.Harris EE E243Hom mework5S Solutions 1. Mo olecular be eam epitax (MBE) growth (15 points) xy g In MBE, fluxes of the elem ments are controlled b y vapor pre c essure, which is in tur rn rolled by th temperat he ture
School: Stanford
PRELAB 3 MORE OP-AMP CIRCUITS! If you cant fix it, make it a feature. Anonymous OBJECTIVES (Why am I doing this prelab?) To gain insight into op-amp application circuits beyond those considered in Lab 2. To understand the basics of analog filters. To u
School: Stanford
PRELAB 6 ADDITIONAL CIRCUIT CONCEPTS If you dont know where youre going, any path will take you there. Unknown OBJECTIVES (Why am I doing this prelab?) To learn about oscillators and how to simulate them in Spice. By Professor Gregory Kovacs Edited and U
School: Stanford
PRELAB 5 OPTOELECTRONIC CIRCUITS Its o.k. if we lose money on the product, well just make it up in volume! Harvard MBA Graduate OBJECTIVES (Why am I doing this prelab?) To learn about interfaces between the optical world and the electronic world. WHERES
School: Stanford
PRELAB 4 INTERFACE CIRCUITS AAAAAAAHHHHH. ZZZZZZ. FTHFPHTHTF. AAAAAHHHH! EE122 Student Who Tests Circuits with Wet Fingertips OBJECTIVES (Why am I doing this prelab?) To investigate some of the ways we interface electronics to the real world. WHERES MY P
School: Stanford
PRELAB 1 PHYSICAL & VIRTUAL INSTRUMENTS FOR ELECTRONICS The Future Begins Tomorrow! Motto of YoyoDyne Engineering in the movie Buckaroo Banzai OBJECTIVES (Why am I doing this prelab?) Review of basic instruments (physical and virtual). Review of electroni
School: Stanford
PRELAB 5 OPTOELECTRONIC CIRCUITS Its o.k. if we lose money on the product, well just make it up in volume! Harvard MBA Graduate OBJECTIVES (Why am I doing this prelab?) To learn about interfaces between the optical world and the electronic world. WHERES
School: Stanford
Chapter 5 Build a Photovoltaic Controller Photovoltaic cells are a great source of renewable energy. With the sun directly overhead, there is about 1kW of solar energy (energetic photons) per square meter of area. A photovoltaic panel converts this solar
School: Stanford
EE152 Lab 2 Revision 1, 30 Sep 2013 1 Energy Meter In this lab, youll build and program a meter that measures voltage, current, power, and energy at DC and AC. Assigned: October 1, 2013. Signoffs: Week of October 7, 2013. 1 New Code Download the code from
School: Stanford
EE152 Lab 4 Revision 1, 21 Oct 2013 1 Motor Control Part II Signoffs: Week of October 21, 2013. 1 Introduction In this lab you will implement the speed controller that you designed in the previous lab with real hardware and demonstrate that the motor can
School: Stanford
EE152 Lab 3 Revision 2, 17 Oct 2013 1 Motor Control Part I 1 Introduction This lab has two parts. For the rst week, you will characterize a brushed DC motor, build a mathematical model of it, and design a speed controller for it. In the second week, you w
School: Stanford
EE152 Lab 1 Revision 3, 30 Sep 2013 1 Lab 1: The Beginning This lab is an introduction to developing for an AVR microcontroller and the tools we will use for the rest of this course. Assigned: September 24, 2013. Signoffs: Week of September 30, 2013. 1 He
School: Stanford
Course: Circuits I
EE 101A / Winter 2013 Lab #7 (For week of 3/11) Lab 7: Switching Voltage Regulator 1. Motivation: Improving the Efficiency of Voltage Regulator In the AC-DC converter that you have built, we use a potentiometer with a source follower in the last stage to
School: Stanford
Course: Circuits I
EE 101A / Winter 2013 Lab #6 (For weeks of 2/25 and 3/4) Lab 6: Output Stages & the Source Follower 1. Motivation: Making our converter a better voltage source Weve spent several weeks building an AC/DC voltage converter to use as a power supply, which is
School: Stanford
Course: Circuits I
EE 101A / Winter 13 Lab #5 (For week of 2/18) Lab 5: Enabling Variable Output Voltage 1. Motivation: Now that we have a nice DC signal, lets add versatility! After adding the Zener diode in the last lab, we have a DC output around 15 V. We could stop here
School: Stanford
Course: Circuits I
EE 101A / Winter 13 Lab #4 (Week of 2/4/13) Lab 4: Voltage Regulation Sedra & Smith, Chapter 4.5 1. Motivation: How can we get rid of those ripples? As you measured in the previous lab, the rectifier output is single polarity, but still half a sine wave.
School: Stanford
Course: Circuits I
EE 101A / Winter 13 Lab #3 (Week of 1/28/13) Lab 3: Full Wave Rectifier Background Reading : Sedra & Smith, Chapter 4.5 1. Motivation: Output voltage is not even close to DC! The role of measurement equipment, such as the oscilloscope, is pretty obvious e
School: Stanford
Course: Circuits I
EE 101A / Winter 13 Lab #2 (Week of 1/21/13) Lab 2: Diode Characterization Background Reading : Sedra & Smith, Sections 4.1 4.4 1. Motivation: We will use silicon diodes to convert AC voltage to DC voltage in next Lab. In this lab, we will characterize th
School: Stanford
Course: Circuits I
EE 101A / Winter 2013 Lab #1 (Week of 1/14) EE 101A Lab Introduction Welcome to EE101A! The lab component of the course is intended to complement the material you learn from lecture by having you analyze and build a very useful circuit using basic electro
School: Stanford
Course: Circuits I
EE 101A / Winter 2013 Optional Lab #0 Open Lab (Packard 064, Wed 1/9 and Thur 1/10, 7pm-9pm) EE101A - LABORATORY FAMILIARIZATION OBJECTIVES To provide an introduction to the electronics laboratory environment and test equipment. The instruments available
School: Stanford
Course: Digital Systems II
EE108B Fall 2012-13 Prof. Olukotun EE 108B Lab Assignment #4 Caches Due: Thursday, December 6, 2012 1. Introduction At this point you have created a single-cycle microprocessor and added pipelining to it. Up to now we have modeled memory accesses simply a
School: Stanford
Course: Digital Systems II
./._lab3# #000755 #000765 #000024 #00000000445 12045332372 012456# 0# #ustar#00chris#staff# #000000 #000000 # # #Mac OS X # #2# %#ATTR# %### %com.apple.metadata:kMDItemWhereFroms#bplist00#_#Nsftp:/corn.stanford.edu/afs /ir.stanford.edu/users/c/h/chrisnc/e
School: Stanford
Course: Digital Systems II
EE108B Fall 2012-13 Prof. Olukotun EE 108B Lab Assignment #3 Pipelining Due: Tuesday, November 13, 2012 1. Introduction Pipelining has introduced huge performance gains to the processor. With these performance gains, there has been additional complexity i
School: Stanford
Course: Digital Systems II
irom changed to combinational logic why pc+8
School: Stanford
Course: Digital Systems II
EE108B Fall 2012-13 Prof. Olukotun EE108B Lab 2 Processor Datapath Design Due: Thursday, November 1st Introduction: Now that you have seen some of the benefits of the software approach to problems, we will spend the next three labs building a processor th
School: Stanford
Course: Digital Systems II
EE108B Prof. Olukotun Fall 2012 EE 108B Lab Assignment #1 MIPS Assembly Programming Due Tuesday, October 16, 2012 1. Introduction Throughout these labs, you will be designing a processor that can execute programs written in MIPS assembly. Once th
School: Stanford
Course: Digital Design Laboratory
EE 121 Digital Design Laboratory October 3, 2002 Handout #6 Laboratory Assignment #2 Laboratory Familiarization: the Real (Analog) World Due date: to be completed in lab from October 711, 2002 The following is an introduction to using the equipment in the
School: Stanford
Course: Circuits I
EE 101A / Winter 10 Lab #7 Lab 7: SPICE (For week of 3/8) You can use the PSpice simulator in the Lab, or the PSpice CD in the back cover of your Sedra & Smith textbook. 1. Motivation: The role of circuit simulation Another important tool for a circuit de
School: Stanford
Course: Circuits I
EE 101A / Winter 2010 Lab #6 (For weeks of 2/22 and 3/1) Lab 6: Output Stages & the Source Follower 1. Motivation: Making our converter a better voltage source Weve spent several weeks building an AC/DC voltage converter to use as a power supply, which is
School: Stanford
Course: Circuits I
EE 101A / Winter 10 Lab #5 (For week of 2/15) Lab 5: Enabling Variable Output Voltage 1. Motivation: Now that we have a nice DC signal, lets add versatility! After adding the Zener diode in the last lab, we have a DC output around 15 V. We could stop here
School: Stanford
Course: Circuits I
EE 101A / Winter 10 Lab #4 (Week of 2/1) Lab 4: Voltage Regulation Sedra & Smith, Chapter 3.5 1. Motivation: How can we get rid of those ripples? dr As you measured in the previous lab, the rectifier output is single polarity, but still half a sine wave.
School: Stanford
Course: Circuits I
EE 101A / Winter 10 Lab #3 (Week of 1/25/10) Lab 3: Full Wave Rectifier Background Reading : Sedra & Smith, Chapter 3.5 1. Motivation: Output voltage is not even close to DC! The role of measurement equipment, such as the oscilloscope, is pretty obvious e
School: Stanford
Course: Circuits I
EE 101A / Winter 10 Lab #2 (Week of 1/18/10) Revised Lab 2: Diode Characterization Background Reading : Sedra & Smith, Sections 3.1 3.4 1. Motivation: We will use silicon diodes to convert AC voltage to DC voltage in next Lab. In this lab, we will charact
School: Stanford
Course: Circuits I
0.8 SolarCellModel withoutillumination Rleakage diode ID withoutillumination subtractingleakage 0 .6 0.4 0.2 0 leakage VD 0 0.5 underillumination 1 1 0.5 0 .2 0.4 SolarCellModel underillumination Iillumination diode
School: Stanford
Course: Circuits I
AC Power P=VI, P =I2R two 110V AC, 180o out of phase (two phases) Sint ( Sint ) = 2 Sint Si hot hot neutral hot Electrical Appliance Hot Neutral Metal Chassis to Ground Power Grid Transformers Power Sub-Station 100-500KV to 7200V Transformer Drum 7200V to
School: Stanford
Course: Circuits I
EE 101A / Winter 2010 Lab #1 EE 101A Lab Introduction Welcome to EE101A! The lab component of the course is intended to complement the material you learn from lecture by having you analyze and build a very useful circuit using basic electronic components.
School: Stanford
Course: Circuits I
EE 101A / Winter 2010 Optional Lab #0 Open Lab (Packard 064, Wed 1/6 and Thur 1/7, 7pm-9pm) EE101A - LABORATORY FAMILIARIZATION OBJECTIVES To provide an introduction to the electronics laboratory environment and test equipment. The instruments available
School: Stanford
EE 121 Digital Design Laboratory October 10, 2002 Handout #10 Laboratory Assignment #3 Floating Point Conversion Due date: Friday, October 18. Prelab due: Tuesday, October 15 For this laboratory assignment, you will use Xilinx Foundation software t
School: Stanford
Handout #2 March 28, 2011 CS103 Robert Plummer CS103 Syllabus Date Day Lecture # Topic PS Due Reading I. Logic, Sets, Relations, and Functions (8 lectures) 3/28 M 1 Intro, propositional logic, truth tables equivalences, De Morgan's Laws 3/30 W 2 Predicate