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Optimisation in Signal and Image Processing
Patrick Siarry
€ 232.44
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Description for Optimisation in Signal and Image Processing
Hardback. 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.
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).
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).
Product Details
Format
Hardback
Publication date
2009
Publisher
ISTE Ltd and John Wiley & Sons Inc United Kingdom
Number of pages
352
Condition
New
Series
ISTE
Number of Pages
352
Place of Publication
London, United Kingdom
ISBN
9781848210448
SKU
V9781848210448
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-1
About Patrick Siarry
Patrick Siarry is a Professor of Automatics and Informatics at the University of Paris-Est Créteil, where he leads the Image and Signal Processing team in the Laboratoire Images, Signaux et Systèmes Intelligents - LiSSi.
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