Stochastic Processes in Engineering

Catalog description

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