probability, random, variables and stochastic processes

By: Balakrishnan A.V. IIMaterial type: TextTextPublication details: New York : Mc Grow Hill 1965Description: 583 P ill. ; 26 cmISBN: (cloth : alk. paper); (cloth : alk. paper)Subject(s): ProbabilityDDC classification: 519.5 LOC classification: QA403.5 | .M37 2009Online resources: Table of contents only
Contents:
Introduction -- Fundamentals of Fourier analysis -- Fourier analysis in systems theory -- Fourier transforms in probability, random variables and stochastic processes -- The sampling theorem -- Generalizations of the sampling theorem -- Noise and error effects -- Multidimensional signal analysis -- Time-frequency representations -- Signal recovery -- Signal and image synthesis: alternating projections onto convex sets -- Mathematical morphology and Fourier analysis on time scales -- Applications.
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Mathematics 519.5 Cut B 182 (Browse shelf(Opens below)) 1 Available 0000063103

Includes bibliographical references (p. 680-744) and index.

Introduction -- Fundamentals of Fourier analysis -- Fourier analysis in systems theory -- Fourier transforms in probability, random variables and stochastic processes -- The sampling theorem -- Generalizations of the sampling theorem -- Noise and error effects -- Multidimensional signal analysis -- Time-frequency representations -- Signal recovery -- Signal and image synthesis: alternating projections onto convex sets -- Mathematical morphology and Fourier analysis on time scales -- Applications.

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