Lecture
Stochastic Models for Communications
Description
This lecture covers random vectors, stochastic models for communications, and continuous cases with functions fx(x) and fy(y). It also delves into matrices, transformations, and examples of calculating expectations. The lecture emphasizes covariance, correlation, and conditional expectations.
Official source
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