ECE 531: Principles of Detection and Estimation Theory

Credits 3.0
Detection of signals in noise, optimum receiver principles, M-ary detection, matched filters, orthogonal signals and representations of random processes. MAP and maximum likelihood estimation. Wiener filtering and Kalman filtering. Channel considerations: prewhitening, fading and diversity combining.
Prerequisites

ECE 502 and ECE 504 or equivalent