Describes the optimization methods 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. Editor(s): Siarry, Patrick. Series: ISTE. Num Pages: 352 pages, Illustrations. BIC Classification: UYS. Category: (P) Professional & Vocational. Dimension: 239 x 165 x 26. Weight in Grams: 694. . 2009. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

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Bibliographic Details

Title: Optimisation in Signal and Image Processing
Publisher: ISTE Ltd and John Wiley & Sons Inc
Publication Date: 2009
Language: English
ISBN 10: 1848210442
ISBN 13: 9781848210448
Binding: Hardcover
Condition: New

About this title

Synopsis

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).

About the Author

Patrick Siarry is a Professor of Automatics and Informatics at the University of Paris-Est Cr�teil, where he leads the Image and Signal Processing team in the Laboratoire Images, Signaux et Syst�mes Intelligents - LiSSi.

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