Digital Signal Processing II
Optimal filtering of discrete-time noisy signals. LMS and RLS adaptive processing. Interference canceling. Linear prediction. Adaptive FIR and lattice implementation. Classical, model based, and eigen analysis spectral estimation. Dynamic power spectra and wavelets. Prerequisite: EE 250 and EE 253.
Normal Grade Rules