Syllabus SACS ELEN 5346 Digital Signal Processing Fall Semester 2008
ELEN5346DigitalSignalProcessing
Catalog Description: Analysis, design, and realization of digital filters, Discrete Fourier Transform algorithms, digital filter design procedures, coefficient quantization. Prerequisites: By topic: concepts of signals and systems in continuous and discrete time, Sampling theory, classical Fourier analysis, convolution, discrete algebra, working knowledge of Matlab. Meetings: MW 4:00-5:15, Room 2631C Instructor: Gleb V. Tcheslavski Office hours: by appointment; Room 2030 Required book: Sanjit K. Mitra, Digital-Signal Processing: A Computer-Based Approach, McGraw-Hill Co., Third edition, 2004, ISBN: 0-07-286546-6. Recommended books: John G. Proakis and Dimitris G. Manolakis, Digital Signal Processing: Principles, Algorithms, and Applications, Macmillan Publishing Co., second edition, 1988, ISBN 0-02-396815-X. Required software: The Mathworks, The Student Edition of MATLAB, Release 2006a or later. On-line access: The course syllabus, assignments, solutions, and supplementary materials will be available through http://ee.lamar.edu/gleb/dsp/index.htm Structure: Two 75-minute lectures per week. One homework, three projects, one midterm exam, and the final examination. Course Objectives and Student Learning Outcomes: Having successfully completed this course, the student will be able to: test unknown digital systems for their basic properties: linearity, time-invariance, causality, and BIBO stability; implement digital filters as Second Order Systems; analytically test Second Order Systems for stability; evaluate the performance of a digital filter in terms of its frequency response; understand and be able to establish connection between the transfer functions zero/pole location on the complex plane and filters frequency response; understand the consequences of fixed-point number representation in hardware implementations of digital filters; demonstrate coefficient quantization effects in digital filters; design digital IIR filters using transformation techniques from analog designs; implement digital IIR filters as a cascade of Second Order Systems; design digital FIR filters using windowing, frequency sampling, and optimal techniques;
design digital filters FIR and IIR meeting given specifications; communicate more efficiently and successfully; learn to work in a team; develop engineering report writing skills.
Three projects related to these learning objectives will form an integral part of this capstone design course. These projects will also give the students an appreciation of the difference between theoretical and implemented algorithms for signal processing. IT IS YOUR RESPONSIBILITY TO ACHIEVE THE COURSE OBJECTIVES. IT IS AS MY TASK TO FACILITATE YOUR ACHIEVEMENT. Covered Topics: 10% Discrete-time signals, sequence operations, sampling 10% Discrete Fourier and Z-transforms, system function for linear shift-invariant systems 20% Fast Fourier Transform (FFT), fast convolution by FFT using the overlap-save or overlapadd methods 15% Design of Infinite Impulse Response digital (IIR) filters by transformation from analog filters : Impulse Invariance, Bilinear Transformation 15% Design of Finite Impulse Response (FIR) digital filters by Windowing, Frequency Sampling 15% Computer Aided Design of FIR and IIR digital filters by Criterion Minimization 15% Implementation aspects: quantization of parameters, finite wordlength, and filter structure (incl. state-space) Tests: The MIDTERM (MT) will be closed book/notes. Your performance on the Projects (P#) will account for the bulk of your grade. The FINAL EXAM will be closed book/notes. Final Exam: Wednesday, December 17, 2008, 2:00 pm Grading Policy Grades will be determined on the basis of overall performance on the midterm exam, the final exam, and homework/projects, with the following tentative weights: Homework Midterm Project 1 Project 2 Project 3 Final 5% 15% 15% 20% 25% 20% Homework: One homework will be due one week after it has been assigned before the class time. Projects: Three projects will be assigned for groups of two students. One report per group is expected. Projects will utilize Matlab extensively and may include hardware-based experiments. Definitive project due dates will be stated on the assignment. No late reports will be accepted. Attendance policy: Class attendance is mandatory with exceptions for medical, family, and other emergencies. Special needs: Students with special needs or circumstances (religious, conflicts, disabilities, etc.) are encouraged to meet with me during my office hours.
Honor System: Cultivate an ethical, professional attitude. Discussions on lecture subject material, to clarify your understanding, are highly encouraged. However, it is your personal/own understanding only that should be reflected in all work that you turn in. You may thus claim credit only for your own work. All graded work is covered by the Academi...