Optimisation in Signal and Image Processing
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).
Keywords: time; reader; concepts; discrete; introductory; signals; filters; book; computation algorithms; techniques; implementation; readers; suited; practitioner; graduate course; textbook; matlab; software implementations, Imaging Systems & Technology, Optimization, Imaging Systems & Technology, Optimization
- Siarry, Patrick
- John Wiley and Sons, Inc.
- Publication year
- Page amount
- 352 pages
- Information Technology, Telecommunications
- eISBN (ePUB)
- Printed ISBN