Prerequisites: EE 210, EE 215, EE 236
Description: Provides an in-depth understanding of adaptive signal processing techniques. Covers Wold decomposition, Yule-Walker equations, spectrum esti- mation, Weiner filters, linear prediction, Kalman filter- ing, time-varying system tracking, nonlinear adaptive filtering, and performance analysis of adaptive algo- rithms and their variations including stochastic gradi- ent, least mean square, least squares, and recursive least squares.