Stochastic Processes in Engineering

A first-year graduate course in stochastic processes, including: review of basic probability; Gaussian, Poisson, and Wiener processes; wide-sense stationary processes; covariance function and power spectral density; linear systems driven by random inputs; basic Wiener and Kalman filter theory.

Units: 

4

Prerequisites: 

none

Course Number: 

ECE235