Optimisation in Signal and Image Processing
Regular price
€223.14
14 days return policy
Shipping & Delivery
book
Category=UYS
computation algorithms
concepts
discrete
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
filters
graduate course
implementation
introductory
matlab
practitioner
reader
readers
signals
software implementations
suited
techniques
textbook
time
Product details
- ISBN 9781848210448
- Weight: 635g
- Dimensions: 158 x 234mm
- Publication Date: 10 Jul 2009
- Publisher: ISTE Ltd and John Wiley & Sons Inc
- Publication City/Country: GB
- Product Form: Hardback
Secure
checkout
Fast Shipping
Easy returns
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).
Patrick Siarry is a Professor of Automatics and Informatics at the University of Paris-Est Créteil, where he leads the Image and Signal Processing team in the Laboratoire Images, Signaux et Systèmes Intelligents - LiSSi.
