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dc.contributor.authorOrtuño, I.
dc.contributor.authorOrtuño, M.
dc.contributor.authorDelgado Penin, José Antonio
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.identifier.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.
dc.description.abstractThe 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
dc.format.extent4 p.
dc.publisherIEEE AND INN SOCS. 1992 IEEE
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació
dc.subject.otherRandom noise
dc.subject.otherBCH codes
dc.subject.otherError correction codes
dc.subject.otherFeedforward neural nets
dc.titleError correcting neural networks for channels with gaussian noise
dc.typeConference report
dc.contributor.groupUniversitat Politècnica de Catalunya. CMC - Control, Monitorització i Comunicacions
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
dc.description.versionPostprint (published version)
local.citation.authorOrtuño, I.; Ortuño, M.; Delgado, J.
local.citation.contributorInternational Joint Conference on Neural Networks

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