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

By: Contributor(s): Material type: TextTextPublisher: New York, NY : Springer New York : Imprint: Springer, 2013Description: XVIII, 530 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781461423867
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 621.382 23
LOC classification:
  • TK5102.9
  • TA1637-1638
  • TK7882.S65
Online resources:
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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