EEGR 622 - Adaptive Signal Processing

Three hours.
3 Credits

Emphasizes the theory and design of finite-impulse response adaptive filters including stochastic processes, Weiner filter, steepest descent, adaptive filters using gradient-methods, analysis of the LMS algorithm, least–squares methods, recursive least squares, and least squares Iattice adaptive filters.

Prerequisite(s) None
Co-Requisite(s) None
Offered FALL OR SPRING