Design And Analysis Of A Low Pass FIR Filter Using Genetic Algorithm: Using Mean Square Error Approach - Couverture souple

Sahu, Rahul Kumar; Thakare, Vandana Vikas

 
9783659786655: Design And Analysis Of A Low Pass FIR Filter Using Genetic Algorithm: Using Mean Square Error Approach
Couverture souple
ISBN 10 : 3659786659 ISBN 13 : 9783659786655
Editeur : LAP LAMBERT Academic Publishing, 2015

Synopsis

Genetic Algorithm (GA) is a computational evolutionary search technique which is based on Darwin’s theory of natural selection i.e. “best fittest will survive”. The advantage of Evolutionary algorithm is it searches a population of points in parallel, not a single point. GA has been used for the designing & analysis of Finite Impulse Response (FIR) Low Pass Filter (LPF) by optimizes the error function i.e. Mean Square Error (MSE). In this the coefficients of the filter are treated as chromosomes which are optimized by the Genetic Algorithm to obtain a filter that would satisfy prescribed specifications and also reduces the multipliers and adders of the FIR filter making the system cost effective. After designing of FIR low pass digital filter, it is also compared with other designing methods viz. Equiripple, Least Square, Window techniques and Parks-McClellan Algorithm; to verify the improved accuracy in terms of transition width and reduced side lobes.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Genetic Algorithm (GA) is a computational evolutionary search technique which is based on Darwin’s theory of natural selection i.e. “best fittest will survive”. The advantage of Evolutionary algorithm is it searches a population of points in parallel, not a single point. GA has been used for the designing & analysis of Finite Impulse Response (FIR) Low Pass Filter (LPF) by optimizes the error function i.e. Mean Square Error (MSE). In this the coefficients of the filter are treated as chromosomes which are optimized by the Genetic Algorithm to obtain a filter that would satisfy prescribed specifications and also reduces the multipliers and adders of the FIR filter making the system cost effective. After designing of FIR low pass digital filter, it is also compared with other designing methods viz. Equiripple, Least Square, Window techniques and Parks-McClellan Algorithm; to verify the improved accuracy in terms of transition width and reduced side lobes.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2015
Langue
anglais
ISBN 10 
3659786659
ISBN 13 
9783659786655
Reliure
Broché
Nombre de pages
88
Coordonnées du fabricant
non disponible
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