• 5 Pages ldpc_225c
    Ldpc_225c

    School: Berkeley

    Low Density Parity Check Decoder Architecture Engling Yeo yeo@eecs.berkeley.edu Department of Electrical Engineering and Computer Sciences University of California, Berkeley Engling Yeo University of California, Berkeley 1 Lowdensity Parity Chec

  • 28 Pages lec24_06
    Lec24_06

    School: Berkeley

  • 19 Pages l1magic
    L1magic

    School: Berkeley

    1 -magic : Recovery of Sparse Signals via Convex Programming Emmanuel Cand`s and Justin Romberg, Caltech e October 2005 1 Seven problems A recent series of papers [38] develops a theory of signal recovery from highly incomplete information. The

  • 33 Pages lec9
    Lec9

    School: Berkeley

  • 6 Pages EE225C_Proposal_ammer_sheets
    EE225C_Proposal_ammer_sheets

    School: Berkeley

    Timing Recovery Unit for a 1.6 Mbps DSSS Receiver EE225C Project Proposal Submitted by Josie Ammer and Mike Sheets September 21, 2000 System Components: Adaptive Pilot Detect and Course Timing Acquisition (APD&CTA) Mike Sheets (msheets@eecs.berk

  • 7 Pages OFDM_SVD_dejan
    OFDM_SVD_dejan

    School: Berkeley

    OFDM Receiver Design: Singular Value Decomposition for Channel Estimation Dejan Markovi dejan@eecs.berkeley.edu EE225C Midterm Report 7 November 2000 SVD Block Description Tx Encoding & Modulatio n Channel z'1 z'4 U Rx x' V x y y' U Demod

  • 15 Pages ffc_tutorial
    Ffc_tutorial

    School: Berkeley

    A Tutorial on Using SimulinkTM and XilinxTM System Generator to Build Floating-point and Fixed-point Communication Systems For EE225c, 2003 By Changchun Shi Last Updated: March 10, 2003 Berkeley Wireless Research Center EECS Department, University of

  • 34 Pages Lec16_ofdm
    Lec16_ofdm

    School: Berkeley

    E225C Lecture 16 OFDM Introduction EE225C Multipath can be described in two domains: time and frequency Time domain: Impulse response time time time Impulse response Frequency domain: Frequency response time time time Sinusoidal signal as inpu

  • 44 Pages comsoc
    Comsoc

    School: Berkeley

    IEEE SCV Communications Society Lecture CMOS for Ultra Wideband and 60 GHz Communications Bob Brodersen Dept. of EECS Univ. of Calif. Berkeley http:/bwrc.eecs.berkeley.edu Berkeley Wireless Research Center FCC - Unlicensed Spectra UWB ISM 0 UPCS U

  • 1 Page hw5
    Hw5

    School: Berkeley

    EE 225C VLSI Signal Processing Homework 5 Due on April, 2003 The goal of this problem set will be to implement a single carrier, 20 Mbit/sec QPSK transmitter and receiver that uses a synchronizer to compensate for the channel impairments. A prototype

  • 1 Page Lab7
    Lab7

    School: Berkeley

    University of California, Berkeley College of Engineering Department of Electrical Engineering and Computer Sciences Prof. A. Zakhor EE225b Digital Image Processing Assignment #7 Image Enhancement Overview: Spring 2003 A problem frequently encou

  • 12 Pages Lecture21
    Lecture21

    School: Berkeley

  • 17 Pages Lecture8
    Lecture8

    School: Berkeley

  • 10 Pages Lecture4
    Lecture4

    School: Berkeley

  • 4 Pages info225a
    Info225a

    School: Berkeley

    EECS 225A Digital Signal Processing Gastpar University of California, Berkeley: Spring 2007 January 16, 2007 Course Information (Preliminary Version) 1 Logistics Michael Gastpar, 265 Cory Hall, gastpar@eecs.berkeley.edu, OH Tue Thu 12:40-1:30 Tue

  • 1 Page hw2
    Hw2

    School: Berkeley

    EE 225C VLSI Signal Processing Homework 2 Due on March 5, 2003 1. Architectural tradeoffs (a) Calculate the energy efficiency and area efficiency metrics, MOPS/mW and MOPS/mm2 , for the following four chips that appeared in the 2003 ISSCC. (b) Compar

  • 15 Pages Lec16_ofdm
    Lec16_ofdm

    School: Berkeley

    E225C Lecture 16 OFDM Introduction EE225C Introduction to OFDM l Basic idea Using a large number of parallel narrow-band subcarriers instead of a single wide-band carrier to transport information l Advantages Very easy and efficient in dealing

  • 1 Page Lab7
    Lab7

    School: Berkeley

    University of California, Berkeley College of Engineering Department of Electrical Engineering and Computer Sciences Prof. A. Zakhor EE225b Digital Image Processing Assignment #5 Image Enhancement Overview: Spring 2008 A problem frequently encou

  • 57 Pages Lec25
    Lec25

    School: Berkeley

    1 (Wireless) Networks are more than communications. Part II Prof. Adam Wolisz TUBerlin/Vsiting Scholar UCB EE 225C Spring 2003 Intro . Who: Adam Wolisz Professor of EE&CS at the Technische Universitt Berlin (TUB) Germany Chair of Telecommunic

  • 30 Pages wireless_channels
    Wireless_channels

    School: Berkeley

    Wireless Channels Ada Poon, Bob Brodersen Berkeley Wireless Research Center University of California, Berkeley Earth-Ionospheric Waveguide 3 30 kHz, very low frequency (VLF) Large wavelength (>10 km) Wave cant penetrate to the lowest layer of ionos

  • 19 Pages lec7_06
    Lec7_06

    School: Berkeley

  • 11 Pages lec25_06
    Lec25_06

    School: Berkeley

  • 12 Pages lec18_06
    Lec18_06

    School: Berkeley

  • 11 Pages lec5_06
    Lec5_06

    School: Berkeley

  • 12 Pages Soln-midterm-1
    Soln-midterm-1

    School: Berkeley

    EE 225A Spring 2005 First Midterm Exam: Solutions 1. A function of a complex variable z is analytic in a region if (check one): It is continuous at every point in the region. It is differentiable with respect to z at every point in the region. It

  • 6 Pages Soln04
    Soln04

    School: Berkeley

    EECS 225A Spring 2005 Homework 4 solutions 1. As shown below, a random variable X is the input to a cascade of two systems with random variable outputs Y1 and Y2 . You are given the joint PDF p X ,Y1 ,Y2 ( x, y1 , y 2 ) and told that it satisfies pY

  • 1 Page Hmwk01
    Hmwk01

    School: Berkeley

    EECS 225A Spring 2005 Homework 1 Due: January 27. Solutions will be presented on that date and you will self-grade your homework. Note: In all homework problems you are encouraged to use the numeric and/or symbolic capabilities of Matlab or similar f

  • 5 Pages Soln05
    Soln05

    School: Berkeley

    EECS 225A Spring 2005 Homework 5 solutions 1. In the following, Z (k ) = R(k ) + j I (k ) is a zero-mean Gaussian random process (meaning R(k ) and I (k m) are zero-mean jointly Gaussian for all k and m ) and wide-sense stationary with autocorrelat

  • 5 Pages Soln02
    Soln02

    School: Berkeley

    EECS 225A Spring 2005 Homework 2 solutions 1. Consider a complex signal {z k ,1 k n} . The goal is to find the best approximation to this signal in terms of a complex exponential with some fixed frequency ; that is, the complex coefficients u and

  • 1 Page Matrix-inversion-lemma
    Matrix-inversion-lemma

    School: Berkeley

    EECS 225A Spring 2005 Matrix inversion lemma David G Messerschmitt Version 1.0, May 4, 2005 When both A and (A uv H ) are invertible (where A is a square matrix and u and v are column vectors), the matrix inversion lemma states that (A uv H ) 1 A

  • 3 Pages Soln01
    Soln01

    School: Berkeley

    EECS 225A Spring 2005 Homework 1 1. Choose any two of the identities involving finite summations in Table 2.3 of Hayes. a. Verify those identities numerically for 0 N 1000 using Matlab. b. Verify those identities for all N using (and trusting) the

  • 2 Pages Review
    Review

    School: Berkeley

    EECS 225A Spring 2005 Common themes Complex variables Real functions of a complex variable contains z * , not analytic Stationary points * = 0 z Gradient * = 0 z Linear time-invariant systems Complex exponentials Impulse response, transfer functio

  • 5 Pages Soln07
    Soln07

    School: Berkeley

    EECS 225A Spring 2005 Homework 7 solutions 1. You wish to design a least-squares inverse filter that realizes (or if necessary approximates) g (k ) hN (k ) = d (k ) , 0 k < M . However, battery power limitations restrict the value of N (number of F

  • 3 Pages Hayes-errata-to-problems
    Hayes-errata-to-problems

    School: Berkeley

    1 Problem 2.13: The matrix A should be ERRATA in Problems (First Printing) A = ;0 1 1 0 x(n) = A cos(n! + ) Problem 3.8: De ne the process x(n) as follows and, in part (c), let ! be a random variable that is uniformly distributed over the interval

  • 17 Pages lec17
    Lec17

    School: Berkeley

  • 1 Page Lab8
    Lab8

    School: Berkeley

    University of California, Berkeley College of Engineering Department of Electrical Engineering and Computer Sciences Prof. A. Zakhor EE225b Digital Image Processing Assignment #8 Image Restoration Overview: Spring 2007 In this assignment, you wi

  • 1 Page Lab7
    Lab7

    School: Berkeley

    University of California, Berkeley College of Engineering Department of Electrical Engineering and Computer Sciences Prof. A. Zakhor EE225b Digital Image Processing Assignment #7 Image Enhancement Overview: Spring 2007 A problem frequently encou

  • 1 Page Hmwk04
    Hmwk04

    School: Berkeley

    EECS 225A Spring 2005 Homework 4 Due: February 17 1. As shown below, a random variable X is the input to a cascade of two systems with random variable outputs Y1 and Y2 . You are given the joint PDF p X ,Y1 ,Y2 ( x, y1 , y 2 ) and told that it satisf

  • 12 Pages Soln-midterm-2
    Soln-midterm-2

    School: Berkeley

    EE 225A Spring 2005 Second Midterm Exam: Solutions 1. Which of the following properties apply to an arbitrary N N circulant matrix? (Check all that apply; there may be more than one.) Toeplitz Positive definite Symmetric Hermitian Eigenvalues

  • 4 Pages info225a
    Info225a

    School: Berkeley

    EECS 225A Digital Signal Processing Gastpar University of California, Berkeley: Spring 2006 January 17, 2006 Course Information 1 Logistics Michael Gastpar, 265 Cory Hall, gastpar@eecs.berkeley.edu, OH TBA Tuesdays and Thursdays, 2-3:30, 299 Cory

  • 36 Pages lec28a
    Lec28a

    School: Berkeley

    Pyramid Coding and Subband Coding . Basic Idea: Successive lowpass filtering and subsampling. rip" 10.33 Processor generatingthe i + Ith.level image/'.(11. "2) from the ith.levelimage/'{II.1Iz)in Gaussianpyramidimage representation. . Filtering:

  • 8 Pages lec13
    Lec13

    School: Berkeley

  • 2 Pages Lab6
    Lab6

    School: Berkeley

    University of California, Berkeley College of Engineering Department of Electrical Engineering and Computer Sciences Prof. A. Zakhor EE225b Digital Image Processing Assignment #6 2D-FIR filter design J. S. Lim, Two-Dimensional Signal and Image Pro

  • 11 Pages Lecture26
    Lecture26

    School: Berkeley

  • 19 Pages lec22_06
    Lec22_06

    School: Berkeley

  • 2 Pages ClassInfo
    ClassInfo

    School: Berkeley

    University of California, Berkeley College of Engineering Department of Electrical Engineering and Computer Sciences Prof. A. Zakhor EE225b Digital Image Processing Information Sheet Lectures Lecturer Wednesdays and Fridays, 11:00am 12:30pm 203 Mc

  • 2 Pages ps6
    Ps6

    School: Berkeley

    UNIVERSITY OF CALIFORNIA AT BERKELEY PROF. EDWARD A. LEE COLLEGE OF ENGINEERING DEPARTMENT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES 518 CORY HALL BERKELEY, CALIFORNIA 94720 TEL: (510) 642-0455 FAX: (510) 642-2739 EMAIL: eal@eecs.Berkeley.EDU

  • 3 Pages ps4
    Ps4

    School: Berkeley

    UNIVERSITY OF CALIFORNIA AT BERKELEY PROF. EDWARD A. LEE COLLEGE OF ENGINEERING DEPARTMENT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES 518 CORY HALL BERKELEY, CALIFORNIA 94720 TEL: (510) 642-0455 FAX: (510) 642-2739 EMAIL: eal@eecs.Berkeley.EDU

  • 2 Pages ps3
    Ps3

    School: Berkeley

    UNIVERSITY OF CALIFORNIA AT BERKELEY PROF. EDWARD A. LEE COLLEGE OF ENGINEERING DEPARTMENT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES 518 CORY HALL BERKELEY, CALIFORNIA 94720 TEL: (510) 642-0455 FAX: (510) 642-2739 EMAIL: eal@eecs.Berkeley.EDU

  • 10 Pages usingVergil
    UsingVergil

    School: Berkeley

    7 Using Vergil Authors: Steve Neuendorffer 7.1 Introduction Vergil is the Graphical User Interface for Ptolemy II. This chapter will guide you though using Vergil to create and manipulate Ptolemy models. Figure 7.1 shows a simple Ptolemy II model in

  • 2 Pages lab3
    Lab3

    School: Berkeley

    Experiments 1.3 Adaptive Filtering 1. Generate random sequence of 1 using the DiscreteRandomSource actor. This represents a random sequence of bits to be transmitted over a channel. Filter this sequence with the following filter (the same filter us

  • 12 Pages sdf
    Sdf

    School: Berkeley

    14 SDF Domain Author: Steve Neuendorffer Contributor: Brian Vogel 14.1 Purpose of the Domain The synchronous dataflow (SDF) domain is useful for modeling simple dataflow systems without complicated flow of control, such as signal processing systems.

  • 2 Pages practiceProblems
    PracticeProblems

    School: Berkeley

    UNIVERSITY OF CALIFORNIA AT BERKELEY PROF. EDWARD A. LEE COLLEGE OF ENGINEERING DEPARTMENT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES 518 CORY HALL BERKELEY, CALIFORNIA 94720 TEL: (510) 642-0455 FAX: (510) 642-2739 EMAIL: eal@eecs.Berkeley.EDU

  • 2 Pages lab5
    Lab5

    School: Berkeley

    Experiments 1.5 Spectral estimation In the spectrum sublibrary of the signal processing library in Ptolemy II, there are three composite actors that perform three different spectral estimation techniques. These are the (1) Spectrum, (2) SmoothedSpec

  • 65 Pages VCIP08Plenary
    VCIP08Plenary

    School: Berkeley

    UC Berkeley Perspectives in distributed source coding Kannan Ramchandran UC Berkeley Media transmission today High-end video camera Mobile device Challenges Low-power Back-end server video sensor Aerial surveillance vehicles High compression e

  • 9 Pages lec11c
    Lec11c

    School: Berkeley

  • 13 Pages lec4
    Lec4

    School: Berkeley

  • 1 Page CSmeetsML
    CSmeetsML

    School: Berkeley

    Introduction Classication via Sparse Representation Conclusion Compressed Sensing Meets Machine Learning - Classication of Mixture Subspace Models via Sparse Representation Allen Y. Yang <yang@eecs.berkeley.edu> Mini Lectures in Image Processing

  • 2 Pages Lab6
    Lab6

    School: Berkeley

    University of California, Berkeley College of Engineering Department of Electrical Engineering and Computer Sciences Prof. A. Zakhor EE225b Digital Image Processing Assignment #4 2D-FIR filter design J. S. Lim, Two-Dimensional Signal and Image Pro

  • 1 Page CSmeetsML-II
    CSmeetsML-II

    School: Berkeley

    Introduction 1 -Minimization 0 / 1 -Equivalence Conclusion Compressed Sensing Meets Machine Learning - Classication of Mixture Subspace Models via Sparse Representation Allen Y. Yang <yang@eecs.berkeley.edu> Mini Lectures in Image Processing (Pa

  • 1 Page ComputerAccounts
    ComputerAccounts

    School: Berkeley

    EE225B Spring 2007 Computer Accounts The EE225B class involves several programming assignments that may be completed using the EECS instructional computers. The information for acquiring access to these computers, as well as downloading software for

  • 18 Pages lec2_06
    Lec2_06

    School: Berkeley

  • 20 Pages lec8_06
    Lec8_06

    School: Berkeley

  • 1 Page Lab7
    Lab7

    School: Berkeley

    University of California, Berkeley College of Engineering Department of Electrical Engineering and Computer Sciences Prof. A. Zakhor EE225b Digital Image Processing Assignment #7 Image Enhancement Overview: Spring 2006 A problem frequently encou

  • 11 Pages OFDM_Rx_Proposal
    OFDM_Rx_Proposal

    School: Berkeley

    EE225C Fall 2000 Project Proposal OFDM Receiver Design Yun Chiu, Dejan Markovic, Haiyun Tang, Ning Zhang {chiuyun, dejan, tangh, ningzh}@eecs 1. Introduction The advance of digital integrated circuits has made possible the massive DSP computation

  • 2 Pages Lab3
    Lab3

    School: Berkeley

    University of California, Berkeley College of Engineering Department of Electrical Engineering and Computer Sciences Prof. A. Zakhor EE225b Digital Image Processing Lab Assignment #3 Tomography Overview: Spring 2006 In this assignment, you explo

  • 2 Pages Lab2
    Lab2

    School: Berkeley

    University of California, Berkeley College of Engineering Department of Electrical Engineering and Computer Sciences Prof. A. Zakhor EE225b Digital Image Processing Lab Assignment #1 Phase-only image reconstruction Overview: Spring 2006 In this

  • 2 Pages Lab6
    Lab6

    School: Berkeley

    University of California, Berkeley College of Engineering Department of Electrical Engineering and Computer Sciences Prof. A. Zakhor EE225b Digital Image Processing Assignment #6 2D-FIR Fan Filters Design Overview: Spring 2006 The filter which a

  • 18 Pages ofdm
    Ofdm

    School: Berkeley

    EE225C Fall 2000 Final Report 12/12/2000 OFDM Receiver Design Yun Chiu, Dejan Markovic, Haiyun Tang, Ning Zhang {chiuyun, dejan, tangh, ningzh}@eecs.berkeley.edu Abstract Othogonal Frequency Division Multiplex (OFDM) has gained considerable attent

  • 14 Pages lec3_06
    Lec3_06

    School: Berkeley

  • 25 Pages Image_Restoration_99
    Image_Restoration_99

    School: Berkeley

    Lagendijk/Biemond: Basic Methods for Image Restoration and Identification 15 February, 1999 BASIC METHODS FOR IMAGE RESTORATION AND IDENTIFICATION Reginald L. Lagendijk and Jan Biemond Information and Communication Theory Group Faculty of Informati

  • 5 Pages projects_2008
    Projects_2008

    School: Berkeley

    EE225B Projects Spring 2008 You need to do a term project of your choice to satisfy the requirements of the course. The report is due on Friday May 9th in class together with a copy of your presentation. I need both electronic and hard copies of the

  • 1 Page lec12
    Lec12

    School: Berkeley

    Outline Images and Projection Models Camera Models Camera Intrinsic Parameters Image Formation and Camera Models Allen Y. Yang Berkeley EE 225b Feb 28th, 2007 Allen Y. Yang Image Formation and Camera Models Outline Images and Projection Mode

  • 27 Pages lec24
    Lec24

    School: Berkeley

    Methods of Bit Assignment (cont.) Huffman <2oding: A practical method to achieve near-optimum perfonnance Example: Message Codeword Probability ., - - hOP, () ~ 100 110 1'10 101 1111 Figure 10.16 Illustration of codeword generation in Huffma

  • 8 Pages homework1
    Homework1

    School: Berkeley

  • 17 Pages lec27_06
    Lec27_06

    School: Berkeley

  • 26 Pages lec20
    Lec20

    School: Berkeley

    - ~ '" 'A > :-t .- . " .",. 1 . "<n 'O ,- J . " (l, - I l' " -.I c-J "';> \l\ , \ J '-, -. c It "a-J C 'C) \ /tv ( iy-J: . ., \ ShJ \ -+I '-> ., ,J c ,. .$ -< 4S' N <tt ,. r .3 1 " ,. 3 3 . - . '< ",-. 1\4 . 2 3 Q

  • 2 Pages ClassInfo
    ClassInfo

    School: Berkeley

    University of California, Berkeley College of Engineering Department of Electrical Engineering and Computer Sciences Prof. A. Zakhor EE225B Digital Image Processing Information Sheet Lectures: Wednesday and Friday, 9:30 11:00 am 203 McLaughlin Sp

  • 2 Pages ClassInfo
    ClassInfo

    School: Berkeley

    University of California, Berkeley College of Engineering Department of Electrical Engineering and Computer Sciences Prof. A. Zakhor EE225B Digital Image Processing Information Sheet Lectures: Spring 2007 Wednesdays and Fridays, 9:30 11:00 am 20

  • 4 Pages hw4
    Hw4

    School: Berkeley

  • 1 Page lab4
    Lab4

    School: Berkeley

    Experiments 1.4 ADPCM speech coding Consider the same speech file you used in the last assignment, http:/ptolemy.eecs.berkeley.edu/~eal/eecs20/sounds/voice.wav You can read this URL with the AudioReader actor, found in the audio sublibrary of the s

  • 3 Pages ps7
    Ps7

    School: Berkeley

    UNIVERSITY OF CALIFORNIA AT BERKELEY PROF. EDWARD A. LEE COLLEGE OF ENGINEERING DEPARTMENT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES 518 CORY HALL BERKELEY, CALIFORNIA 94720 TEL: (510) 642-0455 FAX: (510) 642-2739 EMAIL: eal@eecs.Berkeley.EDU

  • 3 Pages ps5
    Ps5

    School: Berkeley

    UNIVERSITY OF CALIFORNIA AT BERKELEY PROF. EDWARD A. LEE COLLEGE OF ENGINEERING DEPARTMENT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES 518 CORY HALL BERKELEY, CALIFORNIA 94720 TEL: (510) 642-0455 FAX: (510) 642-2739 EMAIL: eal@eecs.Berkeley.EDU

  • 4 Pages ps1
    Ps1

    School: Berkeley

    UNIVERSITY OF CALIFORNIA AT BERKELEY PROF. EDWARD A. LEE COLLEGE OF ENGINEERING DEPARTMENT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES 518 CORY HALL BERKELEY, CALIFORNIA 94720 TEL: (510) 642-0455 FAX: (510) 642-2739 EMAIL: eal@eecs.Berkeley.EDU

  • 15 Pages sync_franks
    Sync_franks

    School: Berkeley

    IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. NO. COM-28, 8, AUGUST 1980 1107 Carrier and Bit Synchronization in Data CommunicationA Tutorial Review L. E. FRANKS, FELLOW.IEEE Absrmcr-This paper examines the problems of carrier phase estimation and sy

  • 5 Pages Lec4_Bee
    Lec4_Bee

    School: Berkeley

    Jan 14th, 2003 Whats BEE? BEE Berkeley Emulation Engine Complete Design & Prototype Environment for Communication Systems Berkeley Wireless Research Center Chen Chang, Kimmo Kuusilinna, Brian Richards, Kevin Camera, Nathan Chan, Allen Chan, Robert

  • 33 Pages Supplement
    Supplement

    School: Berkeley

    EE 225A DIGITAL SIGNAL PROCESSING SUPPLEMENTARY MATERIAL 1 EE 225a Digital Signal Processing Supplementary Material 1. Allpass Sequences A sequence h a ( n ) is said to be allpass if it has a DTFT that satisfies Ha ( e ) = 1 . Note that this is t

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