Optimization in Signal and Image Processing

Optimization in Signal and Image Processing

Editor(s): Patrick Siarry

Published Online: 27 JAN 2010

Print ISBN: 9781848210448

Online ISBN: 9780470611319

DOI: 10.1002/9780470611319

About this Book

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).

Table of contents

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    2. Chapter 13

      Using Interactive Evolutionary Algorithms to Help Fit Cochlear Implants (pages 329–356)

      Pierre Collet, Pierrick Legrand, Claire Bourgeois-République, Vincent Péan and Bruno Frachet

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    4. You have free access to this content

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