Stochastic Processes

ENG EC 505

Introduction to discrete and continuous-time random processes. Correlation and power spectral density functions. Linear systems driven by random processes. Optimum detection and estimation. Bayesian, Weiner, and Kalman filtering.

FALL 2023 Schedule

Section Instructor Location Schedule Notes
A1 Saligrama WED 406 MW 2:30 pm-4:15 pm

Note that this information may change at any time. Please visit the Student Link for the most up-to-date course information.