ENEE620

Random Processes in Communication and Control

Prerequisite: ENEE324; or students who have taken courses with comparable content may contact the department. Introduction to random processes: characterization, classification, representation; Gaussian and other examples. Linear operations on random processes, stationary processes: covariance function and spectral density. Linear least square waveform estimating Wiener-Kolmogroff filtering, Kalman-Bucy recursive filtering: function space characterization, non-linear operations on random processes.

Fall 2023

9 reviews
Average rating: 2.67

Past Semesters

7 reviews
Average rating: 2.43

9 reviews
Average rating: 2.67

10 reviews
Average rating: 2.40

31 reviews
Average rating: 4.23

3 reviews
Average rating: 4.67

9 reviews
Average rating: 1.56

* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.