Edité par LAP LAMBERT Academic Publishing, 2019
ISBN 10 : 3659167908 ISBN 13 : 9783659167904
Langue: anglais
Vendeur : Books Puddle, New York, NY, Etats-Unis
EUR 57,02
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Edité par LAP LAMBERT Academic Publishing, 2019
ISBN 10 : 3659167908 ISBN 13 : 9783659167904
Langue: anglais
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 67,84
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Ajouter au panierPaperback. Etat : Brand New. 60 pages. 8.66x5.91x0.14 inches. In Stock.
Edité par LAP LAMBERT Academic Publishing Jul 2019, 2019
ISBN 10 : 3659167908 ISBN 13 : 9783659167904
Langue: anglais
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware -Recent research focuses on low power design techniques. This has been mainly motivated by the demand of hand-held electronic devices which must consume less power. This thesis presents a hybrid approach for designing a low power Multi-Layer Perceptron (MLP) based Neural Network (NN) for speech recognition. They are bipartite tabular method and banking organization method. The MLP based NN is trained in Matlab using TIDIGITS corpus. This approach is simulated in Xilinx xc3s1200. The system is evaluated using optimized model weights which are exported from Matlab. Performance parameter like area and power is computed.Books on Demand GmbH, Überseering 33, 22297 Hamburg 60 pp. Englisch.
Edité par LAP LAMBERT Academic Publishing, 2019
ISBN 10 : 3659167908 ISBN 13 : 9783659167904
Langue: anglais
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
EUR 138,56
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Ajouter au panierpaperback. Etat : New. New. book.
Edité par LAP LAMBERT Academic Publishing, 2019
ISBN 10 : 3659167908 ISBN 13 : 9783659167904
Langue: anglais
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 57
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Edité par LAP LAMBERT Academic Publishing Jul 2019, 2019
ISBN 10 : 3659167908 ISBN 13 : 9783659167904
Langue: anglais
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 39,90
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Recent research focuses on low power design techniques. This has been mainly motivated by the demand of hand-held electronic devices which must consume less power. This thesis presents a hybrid approach for designing a low power Multi-Layer Perceptron (MLP) based Neural Network (NN) for speech recognition. They are bipartite tabular method and banking organization method. The MLP based NN is trained in Matlab using TIDIGITS corpus. This approach is simulated in Xilinx xc3s1200. The system is evaluated using optimized model weights which are exported from Matlab. Performance parameter like area and power is computed. 60 pp. Englisch.
Edité par LAP LAMBERT Academic Publishing, 2019
ISBN 10 : 3659167908 ISBN 13 : 9783659167904
Langue: anglais
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
EUR 59,92
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Edité par LAP LAMBERT Academic Publishing, 2019
ISBN 10 : 3659167908 ISBN 13 : 9783659167904
Langue: anglais
Vendeur : moluna, Greven, Allemagne
EUR 34,25
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Ajouter au panierEtat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ladumor MayurkumarShreyas Charola is an expert in low power designs, VLSI designs and has published many research papers in this field. Shobhit K. Patel and Mayur Ladumor have published many research papers in VLSI, RF Circuit Design.
Edité par LAP LAMBERT Academic Publishing, 2019
ISBN 10 : 3659167908 ISBN 13 : 9783659167904
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 39,90
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Recent research focuses on low power design techniques. This has been mainly motivated by the demand of hand-held electronic devices which must consume less power. This thesis presents a hybrid approach for designing a low power Multi-Layer Perceptron (MLP) based Neural Network (NN) for speech recognition. They are bipartite tabular method and banking organization method. The MLP based NN is trained in Matlab using TIDIGITS corpus. This approach is simulated in Xilinx xc3s1200. The system is evaluated using optimized model weights which are exported from Matlab. Performance parameter like area and power is computed.