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About Optimisation 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 Markov models; and metaheuristics (genetic algorithms, ant colony algorithms, cross-entropy, particle swarm optimization, estimation of distribution algorithms, and artificial immune systems).
Detailed Information
Author: | Patrick Siarry |
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Publication Year: | 2009 |
ISBN: | 9781848210448 |
Pages: | 385 |
Language: | English |
File Size: | 5.811 |
Format: | |
Price: | FREE |
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