| |
Apr 20, 2024
|
|
|
|
|
EEC 750 - Signal Detection & Estimation(4 credits)
Prerequisite(s): EEC 512 The classical theory of detection and estimation of signals in noise. Bayesian hypothesis testing, minimax hypothesis testing, Neyman-Pearson hypothesis testing, composite hypothesis testing, signal detection in discrete time, sequential detection. Nonparametric and robust detection, parameter estimation, Bayesian estimation, maximum likelihood estimation Kalman-Bucy filtering, linear estimation, Wiener-Kolmogorov filtering, applications to communications.
Click here for the schedule of courses
Add to Portfolio (opens a new window)
|
|
