Optimisation in Signal and Image Processing
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Beschreibung
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).
Autor*in
Patrick Siarry
Themen in »Optimisation in Signal and Image Processing«
Bild- u. Videoverarbeitung Bildgebende Systeme u. Verfahren Electrical & Electronics Engineering Elektrotechnik u. Elektronik Image and Video Processing Imaging Systems & Technology Mathematics Mathematik Optimierung Optimization