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 2024
10 reviews
Average rating:
2.50
Past Semesters
7 reviews
Average rating:
2.43
10 reviews
Average rating:
2.50
14 reviews
Average rating:
2.93
34 reviews
Average rating:
4.29
4 reviews
Average rating:
4.75
19 reviews
Average rating:
1.53
10 reviews
Average rating:
2.50