ECE 554: Adaptive and Statistical Signal Processing (Spring 2002)

Tuesday & Thursday, 3:40-5:20 PM in JM560

 
Instructor: Eric A. Wan
Office: Wallowa
Phone: 748-1164
E-mail: ericwan@ece.ogi.edu

Course Description

The field of adaptive filters and systems constitutes an important part of statistical signal processing. An adaptive system alters or adjusts its defining parameters in such a way that it improves performance through contact with the environment. Adaptive filters are currently applied in such diverse fields as communications, control, radar, seismology, and biomedical electronics.

This course will cover the theory and applications of adaptive linear systems. Topics include Wiener filters, least squares, steepest descent, LMS, RLS, Newton's method, FIR and IIR adaptive structures, and Kalman filters. Applications covered include noise canceling, signal enhancement, adaptive control, adaptive beam-forming, system identification, and adaptive equalization. The theory also lays the foundation for study in nonlinear signal processing with neural networks and will be introduced in the later half of the class.

This course should be of interest to electrical and computer engineers specializing in signal processing and the information sciences. This course should also be taken as background for additional classes offered in artificial neural networks, connectionist models, and machine learning.

Course Handouts

Project Topics
 
http://www.ece.ogi.edu/~ericwan         ericwan@ece.ogi.edu