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Lecture
Stochastic Models for Communications
Description
This lecture covers stochastic models for communications, including complete specification, second-order specification, stationarity, ergodicity, power spectral density, white noise, sinusoidal processes, LTI systems, MA and AR processes, Wiener filter, image restoration, and linear prediction coding.
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