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Optimisation in Signal and Image Processing|Patrick Siarry

Optimisation in Signal and Image Processing

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Overview

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).

This item is Non-Returnable

Details

  • ISBN-13: 9781848210448
  • ISBN-10: 1848210442
  • Publisher: Wiley-Iste
  • Publish Date: October 2009
  • Dimensions: 9.2 x 6.3 x 1 inches
  • Shipping Weight: 1.54 pounds
  • Page Count: 352

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