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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.

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Average rating: 4.00

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Average rating: 3.23

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Average rating: 1.71

Average GPA: 2.83 between 401 students

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