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Optimisation in Signal and Image Processing

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Optimisation in Signal and Image Processing 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 This Edition

ISBN: 9781848210448
Publication date: 10th July 2009
Author: Patrick Siarry
Publisher: ISTE Ltd and John Wiley & Sons Inc
Format: Hardback
Pagination: 352 pages
Genres: Digital signal processing (DSP)