Design And Analysis Of A Low Pass FIR Filter Using Genetic Algorithm
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Design And Analysis Of A Low Pass FIR Filter Using Genetic Algorithm (2015)
~EN PB NWISBN: 9783659786655 bzw. 3659786659, vermutlich in Englisch, LAP LAMBERT Academic Publishing, Taschenbuch, neu.
Lieferung aus: Schweiz, Versandfertig innert 4 - 7 Werktagen.
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. Taschenbuch, 16.10.2015.
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. Taschenbuch, 16.10.2015.
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Design And Analysis Of A Low Pass FIR Filter Using Genetic Algorithm
DE NWISBN: 9783659786655 bzw. 3659786659, in Deutsch, neu.
Lieferung aus: Deutschland, zzgl. Versandkosten.
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.
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.
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Design And Analysis Of A Low Pass FIR Filter Using Genetic Algorithm
~EN NW ABISBN: 9783659786655 bzw. 3659786659, vermutlich in Englisch, neu, Hörbuch.
Lieferung aus: Österreich, Lieferzeit: 5 Tage, zzgl. Versandkosten.
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.
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.
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Design And Analysis Of A Low Pass FIR Filter Using Genetic Algorithm - Using Mean Square Error Approach
~EN PB NWISBN: 9783659786655 bzw. 3659786659, vermutlich in Englisch, LAP Lambert Academic Publishing, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
Design And Analysis Of A Low Pass FIR Filter Using Genetic Algorithm: 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. Englisch, Taschenbuch.
Design And Analysis Of A Low Pass FIR Filter Using Genetic Algorithm: 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. Englisch, Taschenbuch.
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Design And Analysis Of A Low Pass FIR Filter Using Genetic Algorithm
~EN PB NWISBN: 3659786659 bzw. 9783659786655, vermutlich in Englisch, LAP Lambert Academic Publishing, Taschenbuch, neu.
Design And Analysis Of A Low Pass FIR Filter Using Genetic Algorithm ab 54.9 € als Taschenbuch: Using Mean Square Error Approach. Aus dem Bereich: Bücher, Wissenschaft, Technik,.
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Design And Analysis Of A Low Pass FIR Filter Using Genetic Algorithm: Using Mean Square Error Approach (2015)
DE PB NW RPISBN: 9783659786655 bzw. 3659786659, in Deutsch, LAP LAMBERT Academic Publishing, Taschenbuch, neu, Nachdruck.
Lieferung aus: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, English-Book-Service Mannheim [1048135], Mannheim, Germany.
This item is printed on demand for shipment within 3 working days.
Von Händler/Antiquariat, English-Book-Service Mannheim [1048135], Mannheim, Germany.
This item is printed on demand for shipment within 3 working days.
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Design And Analysis Of A Low Pass FIR Filter Using (2015)
~EN PB NWISBN: 9783659786655 bzw. 3659786659, vermutlich in Englisch, Taschenbuch, neu.
Lieferung aus: Deutschland, Next Day, Versandkostenfrei.
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Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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