Introduction to Random Signal Processing – 046201

Introduction to Random Signal Processing – 046201

Introduction to Random Signal Processing – 046201

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Prerequisites: Random Signals 044202

Linked Courses: Intro. to Digital Signal Processing 044198

 

Introduction:

Definition and examples of the estimation problem, basic terms and concepts in estimation theory, estimation of a random parameter, and of a deterministic parameter in a linear model, parametric models of discrete-time random processes, methods for parametric estimation of the autocorrelation function and the spectrum of a stationary process, linear prediction.

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