Error correcting neural networks for channels with gaussian noise

Ortuño, I.; Ortuño, M.; Delgado Penin, José Antonio

doi:10.1109/IJCNN.1992.227326

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Ortuño, I.

Ortuño, M.

Delgado Penin, José Antonio

Document typeConference report

Defense date1992

PublisherIEEE AND INN SOCS. 1992 IEEE

Rights accessOpen Access

All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder

Abstract

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

CitationOrtuño, I., Ortuño, M., Delgado, J. Error correcting neural networks for channels with gaussian noise. A: International Joint Conference on Neural Networks. "?". IEEE AND INN SOCS. 1992 IEEE, 1992, p. 265-268.

URIhttp://hdl.handle.net/2117/100600

DOI10.1109/IJCNN.1992.227326

Publisher versionhttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=227326

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