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).

Nyckelord: time; reader; concepts; discrete; introductory; signals; filters; book; computation algorithms; techniques; implementation; readers; suited; practitioner; graduate course; textbook; matlab; software implementations, Imaging Systems & Technology, Optimization, Imaging Systems & Technology, Optimization