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Item Details
Title: OPTIMISATION IN SIGNAL AND IMAGE PROCESSING
By: Patrick Siarry
Format: Hardback

List price: £85.00


We currently do not stock this item, please contact the publisher directly for further information.

ISBN 10: 1847040187
ISBN 13: 9781847040183
Publisher: ISTE
Pub. date: 10 September, 2007
Pages: 352
Description: Engineers daily encounter technological problems of growing complexity which occur in very diverse fields. The problem to be solved can often be expressed in the form of an optimization problem: an objective function is defined, one that seeks to minimize vis-a-vis all parameters concerned. This book describes some of the optimization methods.
Synopsis: Engineers daily encounter technological problems of growing complexity which occur in very diverse fields, such as telecommunication, genomics ad biomedical engineering. The problem to be solved can often be expressed in the form of an optimization problem: an objective function is defined, one that seeks to minimize vis-a-vis all parameters concerned. This book describes some of 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; metaheuristics (genetic algorithms, ant colony algorithms, cross-entropy, particle swarm optimization, estimation of distribution algorithms and artificial immune systems).
Publication: UK
Imprint: ISTE
Returns: Non-returnable
Some other items by this author:
ADVANCES IN HEURISTIC SIGNAL PROCESSING AND APPLICATIONS (HB)
ADVANCES IN HEURISTIC SIGNAL PROCESSING AND APPLICATIONS (PB)
ADVANCES IN METAHEURISTICS FOR HARD OPTIMIZATION (HB)
ADVANCES IN METAHEURISTICS FOR HARD OPTIMIZATION (PB)
APPLICATIONS OF METAHEURISTICS IN PROCESS ENGINEERING (HB)
APPLICATIONS OF METAHEURISTICS IN PROCESS ENGINEERING (PB)
ARTIFICIAL ANTS (HB)
COMPUTATIONAL INTELLIGENCE IN ANALOG AND MIXED-SIGNAL (AMS) AND RADIO-FREQUENCY (RF) CIRCUIT DESIGN (HB)
COMPUTATIONAL INTELLIGENCE IN ANALOG AND MIXED-SIGNAL (AMS) AND RADIO-FREQUENCY (RF) CIRCUIT DESIGN (PB)
COMPUTATIONAL INTELLIGENCE IN DIGITAL AND NETWORK DESIGNS AND APPLICATIONS (HB)
COMPUTATIONAL INTELLIGENCE IN DIGITAL AND NETWORK DESIGNS AND APPLICATIONS (PB)
COMPUTATIONAL INTELLIGENCE IN IMAGE PROCESSING (HB)
COMPUTATIONAL INTELLIGENCE IN IMAGE PROCESSING (PB)
FOUNDATIONS OF COMPUTATIONAL INTELLIGENCE VOLUME 3 (HB)
FOUNDATIONS OF COMPUTATIONAL INTELLIGENCE VOLUME 3 (PB)
GRAPH PARTITIONING
GRAPH PARTITIONING
GRAPH PARTITIONING
GRAPH PARTITIONING (HB)
HEURISTICS (HB)
INTELLIGENT DECISION SUPPORT SYSTEMS FOR SUSTAINABLE COMPUTING (HB)
METAHEURISTICS (HB)
METAHEURISTICS FOR DYNAMIC OPTIMIZATION (HB)
METAHEURISTICS FOR DYNAMIC OPTIMIZATION (PB)
METAHEURISTICS FOR HARD OPTIMIZATION (HB)
METAHEURISTICS FOR HARD OPTIMIZATION (PB)
METAHEURISTICS FOR PRODUCTION SCHEDULING
METAHEURISTICS FOR PRODUCTION SCHEDULING
METAHEURISTICS FOR PRODUCTION SCHEDULING (HB)
MULTIOBJECTIVE OPTIMIZATION (HB)
MULTIOBJECTIVE OPTIMIZATION (PB)
OPTIMISATION IN SIGNAL AND IMAGE PROCESSING
OPTIMISATION IN SIGNAL AND IMAGE PROCESSING
OPTIMISATION IN SIGNAL AND IMAGE PROCESSING
OPTIMISATION IN SIGNAL AND IMAGE PROCESSING (HB)
OPTIMIZATION AND MACHINE LEARNING (HB)
SWARM INTELLIGENCE BASED OPTIMIZATION (PB)
SWARM INTELLIGENCE BASED OPTIMIZATION (PB)

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