Prerequisites: Random Signals 044202
Linked Courses: Intro. to Digital Signal Processing 044198
Introduction:
Definition and examples of the estimation problem, basic terms and concepts in estimation theory, estimation of a random parameter, and of a deterministic parameter in a linear model, parametric models of discrete-time random processes, methods for parametric estimation of the autocorrelation function and the spectrum of a stationary process, linear prediction.
