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ENEE620

Random Processes in Communication and Control

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.

Adrianos Papamarcou

20 reviews
Average rating: 4.25

Alexander Barg

4 reviews
Average rating: 3.00

Anthony Ephremides

6 reviews
Average rating: 2.67

Richard La

2 reviews
Average rating: 2.50

Armand Makowski

7 reviews
Average rating: 1.71

Behtash Babadi

0 reviews
Average rating: Not yet rated

Average GPA: 2.82 between 349 students

"W"s are considered to be 0.0 quality points. "Other" grades are not factored into the average GPA calculation.