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Random Signals and Processes Primer with MATLAB [electronic resource] /by Gordana Jovanovic Dolecek.

by Dolecek, Gordana Jovanovic [author.]; SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: New York, NY : Springer New York : 2013.Description: XVIII, 528 p. online resource.ISBN: 9781461423867.Subject(s): Engineering | Systems engineering | Engineering | Signal, Image and Speech Processing | Circuits and SystemsDDC classification: 621.382 Online resources: Click here to access online
Contents:
Introduction to Sample Space and Probability -- Random Variable -- Multidimensional Random Variables -- Normal Random Variable -- Other Important Random Variables -- Random Processes -- Spectral Characteristics of Random Processes.
In: Springer eBooksSummary: This book provides anyone needing a primer on random signals and processes with a highly accessible introduction to these topics.  It assumes a minimal amount of mathematical background and focuses on concepts, related terms and interesting applications to a variety of fields.  All of this is motivated by numerous examples implemented with MATLAB.   Provides a highly accessible introduction to the concepts and key terms related to random variables and processes; Assumes minimal mathematical background and gives simple explanations of key terms such as density, distribution, mean value, variance, correlation, autocorrelation, ergodicity, etc; Includes many examples and applications implemented in MATLAB.
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Introduction to Sample Space and Probability -- Random Variable -- Multidimensional Random Variables -- Normal Random Variable -- Other Important Random Variables -- Random Processes -- Spectral Characteristics of Random Processes.

This book provides anyone needing a primer on random signals and processes with a highly accessible introduction to these topics.  It assumes a minimal amount of mathematical background and focuses on concepts, related terms and interesting applications to a variety of fields.  All of this is motivated by numerous examples implemented with MATLAB.   Provides a highly accessible introduction to the concepts and key terms related to random variables and processes; Assumes minimal mathematical background and gives simple explanations of key terms such as density, distribution, mean value, variance, correlation, autocorrelation, ergodicity, etc; Includes many examples and applications implemented in MATLAB.

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