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.
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Condizione: 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. Codice articolo 385766246
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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 -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. Codice articolo 9783659167904
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Taschenbuch. Condizione: 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. Codice articolo 9783659167904
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Taschenbuch. Condizione: 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. Codice articolo 9783659167904
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Da: Books Puddle, New York, NY, U.S.A.
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