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).
發表於2024-11-20
Optimisation in Signal and Image Processing 2024 pdf epub mobi 電子書 下載
圖書標籤: Science
Optimisation in Signal and Image Processing 2024 pdf epub mobi 電子書 下載