University of California,
Santa Barbara
Department of Electrical and Computer Engineering
Adaptive Filter Theory
ECE 245 - Fall 2009
Instructor: Professor John J. Shynk
Schedule: Monday and Wednesday
10:00 - 11:50 a.m.
Phelps 1431
Monday and Wednesday 2:00 - 3:00 p.m.
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.
Homework Problems (weekly), 20%
Programming Assignment, 30% (Thursday, December 3, 5:00 p.m.)
Final Exam (open book), 50% (Tuesday, December 8, 8:00 - 11:00 a.m.)
Haykin, Adaptive Filter Theory, Prentice-Hall, 4th Edition, 2002
Widrow and Stearns, Adaptive Filter Processing, Prentice-Hall, 1985
Current ECE Courses || Electrical and Computer Engineering || College of Engineering
Last Updated: December 5, 2009