ECE 431: Digital Signal Processing

Home : Courses :
ECE 431 - Digital Signal Processing

WWW Resources

Timetable Information

Engineering Courses on the Web (eCOW)

eCOW2 Courses

ECE 431 Digital Signal Processing, Fall09 (1) Sections: 001, 301

Create eCOW2 Course Homepage

Past Semester Courses
ECE 431 Digital Signal Processing, Fall08 (1) Sections: 001, 301

Additional Links

ECE 431: Digital Signal Processing, Fall 2007 (Gubner)

Edit This Page

Catalog Description

431 Digital Signal Processing. I; 3 cr. Sampling continuous-time signals and reconstruction of continuous-time signals from samples; spectral analysis of signals using the discrete Fourier transform; the fast Fourier transform and fast convolution methods; z-transforms; finite and infinite impulse response filter design techniques; signal flow graphs and introduction to filter implementation. P: ECE 330.

Course Prerequisite(s)

ECE 330

Prerequisite knowledge and/or skills

Linear systems theory.

Textbook(s) and/or other required material

Discrete-Time Signal Processing, 3rd Ed. by Oppenheim and Schafer.

Course objectives

An introduction to the theory of discrete time systems and applications.

Topics covered

Discrete-time signals and systems; Time series; The linear time shift invariant system and convolution; Bounded input-bounded output stability.
The z-transform; Forward z-transform; Inverse z-transform; Causal and noncausal signals.
Input/output relationships; Transfer functions and frequency response; Difference equations.
Filter networks; Signal flow graphs; Second order section.
Sampling; Relationship between continuous and discrete time domains; Anti-alias filters, A/D, D/A conversion.
Discrete Fourier Transform; Fourier transform relationships and properties; Windowing; FFT algorithm.
IIR filter design; Pole transformation; Impulse invariance; Bilinear z transformation.
FIR filter design; Window method; Frequency sampling method.

Class/laboratory schedule

Three 50-minute lectures or two 75-minute lectures per week.

Contribution of course to meeting the professional component

This course contributes primarily to the students' knowledge of engineering topics, but does not provide design experience.

The following statement indicates which of the following considerations are included in this course: economic, environmental, ethical, political, societal, health and safety, manufacturability, sustainability.

manufacturability

Relationship of course to undergraduate degree program objectives and outcomes

This course primarily serves students in the department. The information below describes how the course contributes to the undergraduate program objectives.

knowledge in the basic techniques of mathematics and the physical sciences basic skill in methods of design and analysis across a broad range of electrical and computer engineering areas the ability to make thoughtful, well-informed career choices

Assessment of student progress toward course objectives

weekly homework assignments
midterm exams
final exam
projects

Person(s) who prepared this description

Daniel Cobb

Copyright 2009 The Board of Regents of the University of Wisconsin System
Date last modified: 17-Aug-2009
Content by: ece@engr.wisc.edu
Accessibility

Web services