Título:
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Error correcting neural networks for channels with gaussian noise
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Autor/a:
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Ortuño, I.; Ortuño, M.; Delgado Penin, José Antonio
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Otros autores:
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Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. CMC - Control, Monitorització i Comunicacions |
Abstract:
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The main features of error correcting codes and standard decoding techniques are reviewed. Feedforward neural networks for soft-decision decoding of block codes in channels with additive white Gaussian noise are presented. When the noise is not white, the authors deduce the optimal set of weights for the connections of the network. These weights are also approximately obtained by an error backpropagation algorithm. A practical realization for a BCH |
Abstract:
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Peer Reviewed |
Materia(s):
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-Àrees temàtiques de la UPC::Enginyeria de la telecomunicació -Telecommunication -Random noise -BCH codes -Error correction codes -Feedforward neural nets -Telecomunicació |
Derechos:
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Tipo de documento:
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Artículo - Versión publicada Objeto de conferencia |
Editor:
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IEEE AND INN SOCS. 1992 IEEE
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