PDF⋙ Optimization in Signal and Image Processing

Optimization in Signal and Image Processing

Optimization in Signal and Image Processing

Optimization in Signal and Image Processing PDF, ePub eBook D0wnl0ad

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).

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