University of California, Santa Barbara
Department of Electrical and Computer Engineering


Adaptive Filter Theory

ECE 245 - Spring 2008

Instructor: Professor John J. Shynk

Schedule: Monday and Wednesday
10:00 - 11:50 a.m.
Psychology 1802


 

Announcements:

Office Hours:

Monday and Wednesday 1:00 - 2:00 p.m.

Course Information:

Theory and analysis of adaptive filters. Optimal filtering, linear prediction, method of least squares. Steepest-descent and Newton search methods, gradient estimation, LMS adaptive algorithm, recursive least squares. Gradient and least-squares lattice algorithms for joint-process estimation. Convergence analysis, stability conditions, time constants, misadjustment.

Grading:

Homework Problems (weekly), 20%
Programming Assignment, 30% (Thursday, June 5, 5:00 p.m.)
Final Exam (open book), 50% (Monday, June 9, 8:00 - 11:00 a.m.)

Required Text:

Haykin, Adaptive Filter Theory, Prentice-Hall, 4th Edition, 2002

Recommended Text:

Widrow and Stearns, Adaptive Filter Processing, Prentice-Hall, 1985

Lecture Handouts:

 


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Last Updated: June 2, 2008