Statistical Signal Processing

Course Description

Discrete and continuous random variables, conditional and joint distributions, random vector and stochastic processes, correlation and spectra of stationary processes under linear transformations, smoothing and prediction in mean square estimation.

Prerequisites

• Background in statistics and probability.

Course Outline