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Optimization in signal and image processing

This book describes the optimization methods most commonly encountered in signal and image processing: artificial evolution and Parisian approach; wavelets and fractals; information criteria; training and quadratic programming; Bayesian formalism; probabilistic modeling; Markovian approach; hidden M...

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Bibliographic Details
Main Author: Siarry, Patrick
Format: eBook
Language:English
Published: London ISTE 2009
Series:Digital signal and image processing series
Subjects:
Image Processing / Fast
Traitement Du Signal
Signal Processing / Fast
Technology & Engineering / Signals & Signal Processing / Bisacsh
Computers / Information Theory / Bisacsh
Signal Processing / Http://id.loc.gov/authorities/subjects/sh85122397
Image Processing / Aat
Image Processing / Http://id.loc.gov/authorities/subjects/sh85064446
Traitement D'images
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Description
Summary:This book describes the optimization methods most commonly encountered in signal and image processing: artificial evolution and Parisian approach; wavelets and fractals; information criteria; training and quadratic programming; Bayesian formalism; probabilistic modeling; Markovian approach; hidden Markov models; and metaheuristics (genetic algorithms, ant colony algorithms, cross-entropy, particle swarm optimization, estimation of distribution algorithms, and artificial immune systems)
Physical Description:xxi, 361 pages illustrations
ISBN:0470393947
1848210442
9780470611319
0470611316
9780470393949

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