ECE 6565 - Adaptive Filters and Systems

This is an advanced digital signal processing class that will develop the theory, Matlab simulations and define various implementations of linear estimation theory applied to adaptive signal processing. Topics covered will include a estimation theory, Wiener and Kalman Filters, and various Adaptive Filters and Systems (Steepest decent, LMS, RLS, and block implementations).

Prerequisites/Corequisites: Prerequisite: ECE 5550 or equivalent.

Credits: 3 hours

Restrictions Restricted to master’s or doctoral students in electrical and computing engineering.
Notes: Open to graduate students only.
Lecture Hours - Laboratory Hours: (3 - 0)