Optimisation in Signal and Image Processing |
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| Editor:
| Siarry, Patrick |
| ISBN: | 978-1-118-62367-1 |
| Publication Date: | Mar 2013 |
| Publisher: | John Wiley & Sons, Incorporated
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| Imprint: | Wiley-ISTE |
| Book Format: | Digital download |
| List Price: | Contact Supplier contact
Contact Supplier contact
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Book Description:
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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).