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Synopsis
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.
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About the Author
Parampal Singh, received his M.Tech in ECE from Guru Nanak Dev Engineering College, Punjab 2015 and received his B.Tech degree from LCET, Katani Kalan, Ludhiana in 2010. He joined Guru Nanak Dev Polytechnic College in January 2011 where he is working as a Lecturer in ECE Department. His research areas of interest include Signal Processing.
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Design,Optimization of FIR Filter using Hybrid SIMBO-GA Algorithm
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LAP LAMBERT Academic Publishing Jan 2017, 2017
ISBN 10: 3659802344
ISBN 13: 9783659802348
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Taschenbuch. Condition: Neu. 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
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Design,Optimization of FIR Filter using Hybrid SIMBO-GA Algorithm
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Singh ParampalParampal Singh, received his M.Tech in ECE from Guru Nanak Dev Engineering College, Punjab 2015 and received his B.Tech degree from LCET, Katani Kalan, Ludhiana in 2010. He joined Guru Nanak Dev Polytechnic College in J. Seller Inventory # 158962638
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Design,Optimization of FIR Filter using Hybrid SIMBO-GA Algorithm
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Design,Optimization of FIR Filter using Hybrid SIMBO-GA Algorithm
Published by
LAP LAMBERT Academic Publishing Jan 2017, 2017
ISBN 10: 3659802344
ISBN 13: 9783659802348
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Taschenbuch
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 56 pp. Englisch. Seller Inventory # 9783659802348
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Design,Optimization of FIR Filter using Hybrid SIMBO-GA Algorithm
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LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3659802344
ISBN 13: 9783659802348
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Seller Inventory # 9783659802348
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Design,Optimization of FIR Filter using Hybrid SIMBO-GA Algorithm
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LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3659802344
ISBN 13: 9783659802348
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Taschenbuch. Condition: Neu. Design,Optimization of FIR Filter using Hybrid SIMBO-GA Algorithm | Parampal Singh (u. a.) | Taschenbuch | 56 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783659802348 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 108339348