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Optimisation in Signal and Image Processing


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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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  • ISBN-10: 1848210442
  • ISBN-13: 9781848210448
  • Publisher: Wiley-ISTE
  • Pages: 352
  • Date: October 2009

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artificial intelligence intelligence science optimization (mathematics) mathematical optimization operations research applied mathematics cybernetics evolutionary algorithms metaheuristic particle swarm optimization ant colony optimization

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