Adaptive algorithm is the algorithm that can change its behavior as it desired by the user. The analysis of the algorithm may be worst case analysis measured by the performance that may lead towards average case and best case analysis. In this book I have made the objective that the performance analysis of different adaptive algorithms can be evaluated for the application of system identification and noise cancellation. Among many applications of adaptive filters on common application is to identify an unknown system, it means the response of an unknown channel or frequency response can be determined and the error can be evaluated for minimization through different algorithms like LMS, NLMS and different variants of LMS algorithm. We have introduced different norms based on LMS algorithm to overcome slow convergence of standard LMS algorithm in the application of system identification. Similar to the application of system identification we have considered another application as noise cancellation. The objective is to study the adaptive filter theory for noise cancellation problem.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Adaptive algorithm is the algorithm that can change its behavior as it desired by the user. The analysis of the algorithm may be worst case analysis measured by the performance that may lead towards average case and best case analysis. In this book I have made the objective that the performance analysis of different adaptive algorithms can be evaluated for the application of system identification and noise cancellation. Among many applications of adaptive filters on common application is to identify an unknown system, it means the response of an unknown channel or frequency response can be determined and the error can be evaluated for minimization through different algorithms like LMS, NLMS and different variants of LMS algorithm. We have introduced different norms based on LMS algorithm to overcome slow convergence of standard LMS algorithm in the application of system identification. Similar to the application of system identification we have considered another application as noise cancellation. The objective is to study the adaptive filter theory for noise cancellation problem. 100 pp. Englisch. Codice articolo 9786202066358
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Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Adaptive algorithm is the algorithm that can change its behavior as it desired by the user. The analysis of the algorithm may be worst case analysis measured by the performance that may lead towards average case and best case analysis. In this book I have made the objective that the performance analysis of different adaptive algorithms can be evaluated for the application of system identification and noise cancellation. Among many applications of adaptive filters on common application is to identify an unknown system, it means the response of an unknown channel or frequency response can be determined and the error can be evaluated for minimization through different algorithms like LMS, NLMS and different variants of LMS algorithm. We have introduced different norms based on LMS algorithm to overcome slow convergence of standard LMS algorithm in the application of system identification. Similar to the application of system identification we have considered another application as noise cancellation. The objective is to study the adaptive filter theory for noise cancellation problem. Codice articolo 9786202066358
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Da: moluna, Greven, Germania
Condizione: New. Codice articolo 385924277
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Da: Revaluation Books, Exeter, Regno Unito
Paperback. Condizione: Brand New. 100 pages. 8.66x5.91x0.23 inches. In Stock. Codice articolo zk6202066350
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Adaptive algorithm is the algorithm that can change its behavior as it desired by the user. The analysis of the algorithm may be worst case analysis measured by the performance that may lead towards average case and best case analysis. In this book I have made the objective that the performance analysis of different adaptive algorithms can be evaluated for the application of system identification and noise cancellation. Among many applications of adaptive filters on common application is to identify an unknown system, it means the response of an unknown channel or frequency response can be determined and the error can be evaluated for minimization through different algorithms like LMS, NLMS and different variants of LMS algorithm. We have introduced different norms based on LMS algorithm to overcome slow convergence of standard LMS algorithm in the application of system identification. Similar to the application of system identification we have considered another application as noise cancellation. The objective is to study the adaptive filter theory for noise cancellation problem.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 100 pp. Englisch. Codice articolo 9786202066358
Quantità: 1 disponibili