Optimisation in Signal and Image Processing (Hardcover). Questo articolo non è disponibile.Optimisation in Signal and Image Processing (Hardcover)

Hardcover. 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). Describes the optimization methods 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.