Bacterial Foraging Optimization for Digital Filter Synthesis: A Computational Intelligence Approach to DSP and Image Processing - Couverture souple

Das, Apurba

9783659434167: Bacterial Foraging Optimization for Digital Filter Synthesis: A Computational Intelligence Approach to DSP and Image Processing

Couverture souple

ISBN 10 : 3659434167 ISBN 13 : 9783659434167

Editeur : LAP LAMBERT Academic Publishing, 2013

Afficher les exemplaires de cette �dition comportant l?ISBN

1 D'occasion

De EUR 149,16

7 Neuf

De EUR 61,85

In any deterministic solution, the convergence is not at all guaranteed, whereas, the stochastic and random search algorithms are 1 shot optimization and it can hit the nearly optimized solution, with guarantee. Therefore the AI dependent evolutionary algorithms (GA, PSO, DE, BFOA) are prescribed for this type of optimization problems. Some selected evolutionary algorithms are presented for digital filter design. If the statistical characteristic of the input data varies with respect to time or the required knowledge about input data is not satisfactory, adaptive filters are needed. Adaptive filters (FIR and IIR) have attractive increasing attention due to their widespread use in many different applications such as system identification, noise cancellation, channel equalization, linear prediction, control, and modeling. In the present book, in order to achieve a global minimum solution to the fitness function related to filter transfer function, biologically inspired algorithm is used. Adaptation to classical Bacterial Foraging Optimization is employed to design stable and optimum digital filter design for signal processing and image processing applications.

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

Pr�sentation de l'�diteur

Biographie de l'auteur

Apurba is working in Imaging Lab of HCL Technologies Ltd., India as Technical Specialist. He has more than 10 years of experience in industry and academic R&D in the domain of Signal Processing, Image Processing and Pattern Recognition. He has plenty of peer-reviewed papers & 5 published books.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteurLAP LAMBERT Academic Publishing
Date d'�dition2013
ISBN 10 3659434167
ISBN 13 9783659434167
ReliureBroch�
Langueanglais
Nombre de pages216
Coordonn�es du fabricantnon disponible

Acheter D'occasion

�tat : Comme neuf

Like New

Afficher cet article

EUR 149,16

Autre devise

EUR 29,20 exp�dition depuis Royaume-Uni vers France

Destinations, frais et d�lais

Ajouter au panier

Acheter neuf

Afficher cet article

EUR 61,85

Autre devise

EUR 9,70 exp�dition depuis Allemagne vers France

Destinations, frais et d�lais

Ajouter au panier

R�sultats de recherche pour Bacterial Foraging Optimization for Digital Filter...

Image fournie par le vendeur

Bacterial Foraging Optimization for Digital Filter Synthesis

Apurba Das

Edit� par LAP LAMBERT Academic Publishing, 2013

ISBN 10 : 3659434167 ISBN 13 : 9783659434167

Neuf Couverture souple

impression � la demande

Vendeur : moluna, Greven, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Das ApurbaApurba is working in Imaging Lab of HCL Technologies Ltd., India as Technical Specialist. He has more than 10 years of experience in industry and academic R&D in the domain of Signal Processing, Image Processing and Pattern. N� de r�f. du vendeur 5155982

Contacter le vendeur

Acheter neuf

EUR 61,85

Autre devise

Frais de port : EUR 9,70

De Allemagne vers France

Destinations, frais et d�lais

Quantit� disponible : Plus de 20 disponibles

Ajouter au panier

Image fournie par le vendeur

Bacterial Foraging Optimization for Digital Filter Synthesis

Apurba Das

Edit� par LAP LAMBERT Academic Publishing Aug 2013, 2013

ISBN 10 : 3659434167 ISBN 13 : 9783659434167

Neuf Taschenbuch

impression � la demande

Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In any deterministic solution, the convergence is not at all guaranteed, whereas, the stochastic and random search algorithms are 1 shot optimization and it can hit the nearly optimized solution, with guarantee. Therefore the AI dependent evolutionary algorithms (GA, PSO, DE, BFOA) are prescribed for this type of optimization problems. Some selected evolutionary algorithms are presented for digital filter design. If the statistical characteristic of the input data varies with respect to time or the required knowledge about input data is not satisfactory, adaptive filters are needed. Adaptive filters (FIR and IIR) have attractive increasing attention due to their widespread use in many different applications such as system identification, noise cancellation, channel equalization, linear prediction, control, and modeling. In the present book, in order to achieve a global minimum solution to the fitness function related to filter transfer function, biologically inspired algorithm is used. Adaptation to classical Bacterial Foraging Optimization is employed to design stable and optimum digital filter design for signal processing and image processing applications. 216 pp. Englisch. N� de r�f. du vendeur 9783659434167

Contacter le vendeur

Acheter neuf

EUR 69,90

Autre devise

Frais de port : EUR 11

De Allemagne vers France

Destinations, frais et d�lais

Quantit� disponible : 2 disponible(s)

Ajouter au panier

Image fournie par le vendeur

Bacterial Foraging Optimization for Digital Filter Synthesis : A Computational Intelligence Approach to DSP and Image Processing

Apurba Das

Edit� par LAP LAMBERT Academic Publishing, 2013

ISBN 10 : 3659434167 ISBN 13 : 9783659434167

Neuf Taschenbuch

impression � la demande

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In any deterministic solution, the convergence is not at all guaranteed, whereas, the stochastic and random search algorithms are 1 shot optimization and it can hit the nearly optimized solution, with guarantee. Therefore the AI dependent evolutionary algorithms (GA, PSO, DE, BFOA) are prescribed for this type of optimization problems. Some selected evolutionary algorithms are presented for digital filter design. If the statistical characteristic of the input data varies with respect to time or the required knowledge about input data is not satisfactory, adaptive filters are needed. Adaptive filters (FIR and IIR) have attractive increasing attention due to their widespread use in many different applications such as system identification, noise cancellation, channel equalization, linear prediction, control, and modeling. In the present book, in order to achieve a global minimum solution to the fitness function related to filter transfer function, biologically inspired algorithm is used. Adaptation to classical Bacterial Foraging Optimization is employed to design stable and optimum digital filter design for signal processing and image processing applications. N� de r�f. du vendeur 9783659434167

Contacter le vendeur

Acheter neuf

EUR 76,90

Autre devise

Frais de port : EUR 10,99

De Allemagne vers France

Destinations, frais et d�lais

Quantit� disponible : 1 disponible(s)

Ajouter au panier

Image fournie par le vendeur

Bacterial Foraging Optimization for Digital Filter Synthesis

Apurba Das

Edit� par LAP LAMBERT Academic Publishing Aug 2013, 2013

ISBN 10 : 3659434167 ISBN 13 : 9783659434167

Neuf Taschenbuch

impression � la demande

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -In any deterministic solution, the convergence is not at all guaranteed, whereas, the stochastic and random search algorithms are 1 shot optimization and it can hit the nearly optimized solution, with guarantee. Therefore the AI dependent evolutionary algorithms (GA, PSO, DE, BFOA) are prescribed for this type of optimization problems. Some selected evolutionary algorithms are presented for digital filter design. If the statistical characteristic of the input data varies with respect to time or the required knowledge about input data is not satisfactory, adaptive filters are needed. Adaptive filters (FIR and IIR) have attractive increasing attention due to their widespread use in many different applications such as system identification, noise cancellation, channel equalization, linear prediction, control, and modeling. In the present book, in order to achieve a global minimum solution to the fitness function related to filter transfer function, biologically inspired algorithm is used. Adaptation to classical Bacterial Foraging Optimization is employed to design stable and optimum digital filter design for signal processing and image processing applications.Books on Demand GmbH, �berseering 33, 22297 Hamburg 216 pp. Englisch. N� de r�f. du vendeur 9783659434167

Contacter le vendeur