DesignOptimization of FIR Filter using Hybrid SIMBO-GA Algorithm
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Preise | März 17 | März 19 | Sep. 19 |
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Schnitt | € 35,90 | € 35,48 | € 34,44 |
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1
Design,Optimization of FIR Filter using Hybrid SIMBO-GA Algorithm
DE HC NW
ISBN: 9783659802348 bzw. 3659802344, in Deutsch, Lap Lambert Academic Publishing, gebundenes Buch, neu.
Lieferung aus: Deutschland, Versandkostenfrei innerhalb von Deutschland.
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 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. Lieferzeit 1-2 Werktage.
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 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. Lieferzeit 1-2 Werktage.
2
Design,Optimization of FIR Filter using Hybrid SIMBO-GA Algorithm
DE NW
ISBN: 9783659802348 bzw. 3659802344, in Deutsch, neu.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, Lieferzeit: 11 Tage, zzgl. Versandkosten.
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.
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.
3
Design,Optimization of FIR Filter using Hybrid SIMBO-GA Algorithm
DE PB NW
ISBN: 9783659802348 bzw. 3659802344, in Deutsch, LAP Lambert Academic Publishing, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
Design,Optimization of FIR Filter using Hybrid SIMBO-GA Algorithm: 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. Englisch, Taschenbuch.
Design,Optimization of FIR Filter using Hybrid SIMBO-GA Algorithm: 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. Englisch, Taschenbuch.
4
Design,Optimization of FIR Filter using Hybrid SIMBO-GA Algorithm
DE PB NW
ISBN: 3659802344 bzw. 9783659802348, in Deutsch, LAP Lambert Academic Publishing, Taschenbuch, neu.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
6
DesignOptimization of FIR Filter using Hybrid SIMBO-GA Algorithm
~EN PB NW
ISBN: 3659802344 bzw. 9783659802348, vermutlich in Englisch, LAP Lambert Academic Publishing, Taschenbuch, neu.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
7
Design,Optimization of FIR Filter using Hybrid SIM (2017)
DE PB NW
ISBN: 9783659802348 bzw. 3659802344, in Deutsch, Taschenbuch, neu.
Lieferung aus: Deutschland, Next Day, Versandkostenfrei.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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