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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 2021

8 reviews
Average rating: 2.88

Past Semesters

25 reviews
Average rating: 4.24

1 review
Average rating: 4.00

3 reviews
Average rating: 3.67

7 reviews
Average rating: 2.43

7 reviews
Average rating: 1.71

Average GPA: 2.90 between 480 students

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