Electrical Computer Engineering - ECE

A first-year graduate course in Stochas TIC 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.

Prerequisites: ECE 139 or equivalent. Graduate standing.


ECE 235
19 / 30 Enrolled
Stochastic Processes in Engineering
Pedarsani R
T R
14:00 PM - 15:50 PM
63.7% A