Description

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).

Optimisation in Signal and Image Processing

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Hardback by Patrick Siarry

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This book describes the optimization methods most commonly encountered in signal and image processing: artificial evolution and Parisian approach; wavelets... Read more

    Publisher: ISTE Ltd and John Wiley & Sons Inc
    Publication Date: 10/07/2009
    ISBN13: 9781848210448, 978-1848210448
    ISBN10: 1848210442

    Number of Pages: 352

    Non Fiction , Computing

    Description

    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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