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 M...
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| Format: | eBook |
| Language: | English |
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Wiley,
2009.
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| Edition: | 1st edition. |
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| Online Access: | Connect to this electronic resource |
| 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: | Electronic resource. |
| Physical Description: | 1 online resource (352 pages) |
| Format: | Mode of access: World Wide Web. |