Optimization 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 M...
| Other Authors: | |
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| Format: | eBook |
| Language: | Inglés |
| Published: |
London : Hoboken, NJ :
ISTE ; Wiley
2009.
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| Edition: | 1st edition |
| Series: | ISTE
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| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009627825006719 |
| Summary: | 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). |
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| Item Description: | Description based upon print version of record. |
| Physical Description: | 1 online resource (385 p.) |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781282688551 9786612688553 9780470611319 9780470393949 |
