Maryland - ECE - 303

ENEE 434 Spring 2007 03/30/07 Paper Choices Name/Paper Email address presentation Commentating Dates dates Anderson, Phillip Arthur M 03/26/07 #6 W 04/25/07 #2 W 04/04/07 #2 02/28/07: G. Pajares, "A Hopfield Neural Network for Image Change Detection,

Maryland - ECE - 303

File: E:/courses/spring2007/303/midtermstudy.docRWN03/07/07Possible topics to study for midterm 1. Load lines 2. Diode characteristics and piecewise linear approximations 3. Operating points and biasing 4. Small signal pi equivalent circuits fo

Maryland - ECE - 303

File: c:\temp\courses\spring2006\303\3032ndpres_info.doc RWN 03/29/06 ENEE 303 Information for Second Presentation 1. The presentation should consist of a discussion of the main results obtained from the base paper, including the main circuits simula

Maryland - ECE - 303

file: c:\temp\courses\spring2006\303\ee303rpt_grd.docRWN 04/13/06ENEE 303 Base Paper Report Grading Form Student: Paper Title: Base Paper: 1. Historical framework; 10 points 2. Comprehension and intuitive explanation of circuit operation; 10 poin

Maryland - ECE - 303

Maryland - ECE - 303

Maryland - ECE - 303

Maryland - ECE - 417

file: c:\temp\courses\spring2003\417\ee417rpt_grd.docRWN 05/05/03ENEE 417 Base Paper Report Grading Form Student: Paper Title: Base Paper: 1. Historical framework; 10 points 2. Comprehension and intuitive explanation of circuit operation; 10 poin

Maryland - ECE - 303

File: f:/coursesF08/303/303F08Midtrm.docRWN10/16/08303 Fall 2008 Midterm Exam Th 10/23/08 Open book open notes but not open computers (calculators ok but only for calculations); 100 points total; if stuck go on to the next problem. Good luck F

Maryland - ECE - 610

Maryland - ECE - 610

1.0000 1.8296 0.1232 -0.0537 0.7885 -1.3237 0.7966 2.1405 0.2115Ycsym = 1.0000 0.8880 0.4599 0.8880 0.7885 0.4084 0.4599 0.4084 0.2115Ycskw = 0 0.9416 -0.3367 -0.9416 0 -1.7321 0.3367 1.7321 0[U,S,V]=svd(Ycsym)U= -0.7071 -0.0884 -0.7016 -0.62

Maryland - ECE - 610

Maryland - ECE - 434

Maryland - ECE - 434

ENEE434 Spring 2007 Midterm:Problem1: E12.3 pp.12-50, text book 10 6 1 1 F ( X ) = X T AX + d T X = X T X + [4 4]X 2 2 6 10 2 F ( X ) = 5 x12 6 x1 x 2 + 5 x 2 + 4 x1 + 4 x 2Y.J. 05/18/07Eigenvalues for [10 -6; -6 10] are =4 and =16. For t

Maryland - ECE - 434

File: e:/courses/spring2007/434/midtermmakeup.doc Midterm Makeup due M 04/30/07RWN 04/22/07Those who obtained a score below 50 on the midterm can submit a reworked exam for a maximum of 10 points to adjust their midterm score to a maximum of 50 p

Maryland - ECE - 435

EE 435 11/17/03Note Title 11/17/2003P = [ -0.5 -0.5 +0.3 -0.1; . -0.5 +0.5 -0.5 +1.0]; T = [1 1 0 0]; plotpv(P,T);net = newp([-1 1;-1 1],1);plotpv(P,T); plotpc(net.IW{1},net.b{1});net.adaptParam.passes = 3; net = adapt(net,P,T); plotpc(net.IW

Maryland - ECE - 302

File:c:\temp\courses\fall00\302\302midst.doc ENEE 302 Midterm Study ItemsRWN10/17/00The exam is scheduled for Tuesday, 10/24/00, and will be in class and open book, open notes. The following topics are worth studying: 1. Load lines and their us

Maryland - ECE - 302

File: 302f0_03 RWN 09/08/00 ENEE 302 Possible to do items #3. 1. For the following circuit set up the differential equation for the capacitor voltage (with respect to ground). Solve this two different ways, at least one of which uses Spice.2. Using

Maryland - ECE - 302

File: 302f0_04 RWN 09/18/00 ENEE 302 Possible to do items #4. 1. For the two following transmission gates do Spice runs for various input_pulseclock_pulse-capacitor_IC combinations. Note the possible clock feedthrough effects. For one set of these co

Maryland - ECE - 302

File: 302f0_05 RWN 10/01/00 ENEE 302 Possible to do items #5 1. For the current mirror of Fig. 5-1a) find the width, Wpin, of the p-channel transistor to give an output current of 2ma; assume MOSIS 2micron transistors. If the load is the resistor of

Maryland - ECE - 302

Maryland - ECE - 302

Maryland - ECE - 302

Maryland - ECE - 302

Maryland - ECE - 302

Maryland - ECE - 302

Maryland - ECE - 302

Maryland - ECE - 302

Maryland - ECE - 302

Maryland - ECE - 302

Maryland - ECE - 610

ENEE610 Homework # 1 Due: 10/14/02 AD 12345Consider#1, problem 1 (25 points) Consider#2, problem 1 (10 points) Consider#2, problem 3 (10 points) Consider#3, problem 2 (25 points) Consider#4, problem 1 (5 points)

Maryland - ECE - 610

File: c:\spice\sch\rwn\eval\vanderpolosc.docRWN 10/21/01ICx=ICy=0.4, eps=2.0ICx=ICy=2.0, eps=0.1ICx=ICy=0.4, eps=0.1

Maryland - ECE - 434

file: ~/courses/spring2002/434/434_exam_study.txt RWN 03/14/02Some ENEE 434 Exam study points1. Perceptron problem - given inputs, initial weights, activationfunction, and desired minimum error, find weights.2. Perceptron problem - kno

Maryland - ECE - 302

Maryland - ECE - 302

File: c:\temp\courses\spring2004\302\302midterm.doc RWN 03/18/04c(fig of 1) Midterm Exam ENEE 302 Spring 2004 Open book, open notes, 100 points, 75 minutes (15 minutes for checking); if stuck go on to the next problem. Your signature guarantees the w

Maryland - ECE - 302

Maryland - ECE - 417

file:C:\temp\courses\fall02\417\417week6_8.docRWN09/29/02ENEE 417 - Fall 2002 Weeks #6-#8 Design #3: Inverter Circuit Designs: layout and use In this experiment the CMOS inverter will be used for various functions and activities. 1 Design a thr

Maryland - ECE - 417

C:/temp/course/fall2002/417/pres_sgnup.doc Presentation and Commentator Sign Ups 1. Section 1 Tuesday 11/26/02 14:00 - 16:50 a: 14:00 -14:20 P: C: b. 14:25 - 14:45 P: C: c. 14:50 - 15:10 P: C: d. 15:15 - 15:35 P: C: e. 15:40 - 16:00 P: C: f. 16:05 -

Maryland - ECE - 417

Maryland - ECE - 302

file: ~/courses/spring2002/302/302_exam_study.txt RWN 03/14/02Some ENEE 302 Midterm Exam Study points 1. Biasing of a PNP/NPN BJT circuit and comparison with biasing a PMOS/NMOS.2. Inverters: CMOS break point calculations, power consum

Maryland - ECE - 434

Maryland - ECE - 434

function H=lyapunhop(G,C,W,Ib)%lyapunhop function for Hopfield neural network% function to plot Lyapunov for Hopfield Neural Net RWN 02/05/06% updated 03/06/08 to fix p=2 for n2% Syntax%% H = lyapunhop(x,y,C,G,W,Ib)% info = hoplyapun(c

Maryland - ECE - 610

Course: ENEE610 Title: ELEC NETWORK THERY dates paper Commentated by Commentate for Baig, Zubair E. G. Friedman, " Latching Characteristics of a CMOS Bistable Register," IEEE Transactions on Circu Bangalore Prakash, Somashe I. M. Filanovsky, "A CMOS

Maryland - ECE - 610

Maryland - ECE - 610

Maryland - ECE - 434

file:C:\temp\courses\spring2006\434\434pprdes.docRWN12/26/06ENEE 434 - Spring 2006 Term Paper Description The term paper should have a thorough discussion of your base paper and 1. Be no longer than 10 pages (1.5 space, 12 point) 2. Follow the

Maryland - ECE - 434

Maryland - ECE - 434

file: c:\temp\courses\spring2006\434\ee434rpt_grd.docRWN 04/14/06ENEE 434 Base Paper Report Grading Form Student: Paper Title: Base Paper: 1. Historical framework; 10 points 2. Comprehension and intuitive explanation of neural network operation;

Maryland - ECE - 434

Maryland - PSPIC - 302

About the MicroSim DesignLab Evaluation Version=The MicroSim DesignLab Windows evaluation version also includes evaluation versions of MicroSim PSpice Optimizer and MicroSim PCBoards.System Requirements=To effectively use the software,

UCSC - CMPS - 101

CMPS 101Spring 2002 Induction ProofsLet P(n) be a propositional function defined on the set of integers. In other words, P is a function P : Z {True, False} , where Z stands for the set of integers, or possibly a subset of the integers. Informal

UCSC - CMPS - 101

CMPS 101 Algorithms and Abstract Data TypesRecurrence RelationsIteration Method Recall the following example from the induction handout.0 T ( n) = T ( n / 2 ) + 1n =1 n2We begin by illustrating a solution technique called Iteration, which

UCSC - CMPS - 101

CMPS 101 Algorithms and Abstract Data Types Introduction to Algorithm Analysis Summary of the Theory Side of this Course Mathematical Preliminaries o Asymptotic growth rates of functions o Some common functions and their properties o Induction Proof

UCSC - CMPS - 101

CMPS 201 Algorithms and Abstract Data TypesSome Common FunctionsWe present several common functions and estimates which occur frequently in the analysis of algorithms. Floors and Ceilings Given x R , we denote by x and x the floor of x and the

UCSC - CMPS - 101

This file is grading-pa02.txt in the class locker.The grade for pa02 will break down grossly as follows.Java 60Heapsort organization 10Heapsort functioning 20Input processing 5Accurate spec

UCSC - CMPS - 101

CMPS 101Spring 2002 Induction ProofsLet P (n) be a propositional function defined on the set of integers. In other words, P is a function P : Z {True, False} , where Z stands for the set of integers, or possibly a subset of the integers. Informa

Cal Poly Pomona - CS - 440

Project Phase 2CS 440 Winter 1995 Craig A. Richwith Generic_Set ; generic - T y p e s -type Symbol is ( <> ) ; type Phrase is array ( Positive range <> ) of Symbol ; type To_Phrase is access Phrase ; type Phrases is array ( Positive range <> ) of

Cal Poly Pomona - CS - 199201

Project Phase 1 Pascal SpecicationsCS 440 Winter 1992 Craig A. Richlanguage.pas[environment] module LANGUAGE; const MAX_STRING_LENGTH EOT = (4); HT = (9); CR = (13); (*--*) (* Terminal Symbols *) (*-*) type SYMBOL_TYPE = ( id, literal, relop, ad

Cal Poly Pomona - CS - 440

Project Phase 1 Pascal SpecicationsCS 440 Winter 1992 Craig A. Richlanguage.pas[environment] module LANGUAGE; const MAX_STRING_LENGTH EOT = (4); HT = (9); CR = (13); (*--*) (* Terminal Symbols *) (*-*) type SYMBOL_TYPE = ( id, literal, relop, ad

Cal Poly Pomona - CS - 199301

Project Phase 1 Ada SpecicationsCS 440 Winter 1993 Craig A. Richlanguage_.adapackage LANGUAGE is - Terminal Symbols --type SYMBOL_TYPE is ( id, literal, relop, addop, mulop, assignop, ;, ., , :, (, ), program_k, var_k, integer_k, boolean_k, begi

Cal Poly Pomona - CS - 440

Project Phase 1 Ada SpecicationsCS 440 Winter 1993 Craig A. Richlanguage_.adapackage LANGUAGE is - Terminal Symbols --type SYMBOL_TYPE is ( id, literal, relop, addop, mulop, assignop, ;, ., , :, (, ), program_k, var_k, integer_k, boolean_k, begi