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).
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Produktdetails
- ISBN: 978-0-470-39394-9
- EAN: 9780470393949
- Produktnummer: 13935891
- Verlag: Wiley
- Sprache: Englisch
- Erscheinungsjahr: 2010
- Seitenangabe: 352 S.
- Plattform: PDF
- Masse: 6'648 KB
Über den Autor
Patrick Siarry is a Professor of Automatics and Informatics at the University of Paris-Est Créteil, where he leads the Image and Signal Processing team in the Laboratoire Images, Signaux et Systèmes Intelligents - LiSSi.
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