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ECE 431 - Digital Signal Processing

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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)

Prerequisite knowledge and/or skills

Linear systems theory.

Textbook(s) and/or other required material

Digital Filters and Signal Processing, 2nd ed., Leland Jackson, Kluwer Publishing Co.

Course objectives

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

Topics covered

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.

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.

Assessment of student progress toward course objectives

Person(s) who prepared this description



Copyright 2007 The Board of Regents of the University of Wisconsin System
Date last modified: 10-Aug-2007
Content by: ece@engr.wisc.edu
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