Optimisation in Signal and Image Processing

by Patrick Siarry (Editor)

This book describes the optimization methods most commonly encountered in signal and image 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).

352 pages, Kindle Edition

First published September 10, 2007