Design,Optimization of FIR Filter using Hybrid SIMBO-GA Algorithm

Language: English

Published by LAP LAMBERT Academic Publishing Jan 2017, 2017

3659802344 / 9783659802348

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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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This item is printed on demand - it takes 3-4 days longer - Neuware -Digital Filters play a vital role in digital signal processing.They are preferred in comparison to analog filters due to various advantages like linear phase response and higher stop band attenuation.In category of Digital filters, FIR filters are a suitable choice since they introduce no phase distortion and suffer less from the effects of round off noise and coefficient quantization errors. The traditional FIR filter design methods are window method, Parks-McClellan method. The main limitation of these method is that they does not results in the optimum FIR filter as they does not permit individual control over the approximation errors in various band.This thesis focuses on the application of computational intelligence (CI) techniques for Digital FIR filter design. Computational intelligence techniques have been widely used in the digital filter design than the traditional design methods because they provide better parameter control and better approximation to the ideal filter.Since stochastic search methods have proven to be effective in multidimensional nonlinear environment,all of the constraints of filter design can be effectively taken care of by the use of these algorithms. 56 pp. Englisch.

Seller Inventory # 9783659802348

Title
Design,Optimization of FIR Filter using Hybrid SIMBO-GA Algorithm
Author
Parampal Singh
Publisher
LAP LAMBERT Academic Publishing Jan 2017
Publication year
2017
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3659802344
ISBN 13
9783659802348
Item weight
102 grams
Dimensions
220x150x4 mm

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germany

5-star seller

AbeBooks seller since January 11, 2012

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BuchWeltWeit Ludwig Meier e.K.

Germany