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This work makes use of SFLA as a training algorithm to train multi-layer Artificial Neural Network (ANN). Next, The SFLA-ANNs are used for channel equalization. In this way, this book introduces a novel strategy for training of ANN and also proposes one novel approach for channel equalization problem. The proposed strategies are tested both in time-invariant and time varying channels and interestingly yields better performance than contemporary approaches as evidenced by simulation results.
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Neural Network Modelling For Channel Equalization
Editore:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202197102
ISBN 13: 9786202197106
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Da: moluna, Greven, Germania
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Panda SunitaMy name is Dr. Sunita Panda. I was born in Orissa and presently I am staying in Bangalore. I have a vast experience of teaching different engineering subjects including BE, AEC, DE, ACS, AC etc. I have also associated wit. Codice articolo 385934016
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Neural Network Modelling For Channel Equalization
Editore:
LAP LAMBERT Academic Publishing Dez 2017, 2017
ISBN 10: 6202197102
ISBN 13: 9786202197106
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This work makes use of SFLA as a training algorithm to train multi-layer Artificial Neural Network (ANN). Next, The SFLA-ANNs are used for channel equalization. In this way, this book introduces a novel strategy for training of ANN and also proposes one novel approach for channel equalization problem. The proposed strategies are tested both in time-invariant and time varying channels and interestingly yields better performance than contemporary approaches as evidenced by simulation results. 88 pp. Englisch. Codice articolo 9786202197106
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Neural Network Modelling For Channel Equalization
Editore:
LAP LAMBERT Academic Publishing Dez 2017, 2017
ISBN 10: 6202197102
ISBN 13: 9786202197106
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Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. Neuware -This work makes use of SFLA as a training algorithm to train multi-layer Artificial Neural Network (ANN). Next, The SFLA-ANNs are used for channel equalization. In this way, this book introduces a novel strategy for training of ANN and also proposes one novel approach for channel equalization problem. The proposed strategies are tested both in time-invariant and time varying channels and interestingly yields better performance than contemporary approaches as evidenced by simulation results.Books on Demand GmbH, Überseering 33, 22297 Hamburg 88 pp. Englisch. Codice articolo 9786202197106
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Neural Network Modelling For Channel Equalization
Editore:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202197102
ISBN 13: 9786202197106
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Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This work makes use of SFLA as a training algorithm to train multi-layer Artificial Neural Network (ANN). Next, The SFLA-ANNs are used for channel equalization. In this way, this book introduces a novel strategy for training of ANN and also proposes one novel approach for channel equalization problem. The proposed strategies are tested both in time-invariant and time varying channels and interestingly yields better performance than contemporary approaches as evidenced by simulation results. Codice articolo 9786202197106
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Neural Network Modelling For Channel Equalization
Editore:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202197102
ISBN 13: 9786202197106
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Paperback
Da: Revaluation Books, Exeter, Regno Unito
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Paperback. Condizione: Brand New. 88 pages. 8.66x5.91x0.20 inches. In Stock. Codice articolo zk6202197102
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