Bayes Decoding For Discrete Linear Channels With Semantic Value Of Information

dc.creatorFirer M.
dc.creatorPanek L.
dc.creatorRifo L.L.R.
dc.date2012
dc.date2015-06-25T20:25:20Z
dc.date2015-11-26T15:21:28Z
dc.date2015-06-25T20:25:20Z
dc.date2015-11-26T15:21:28Z
dc.date.accessioned2018-03-28T22:30:56Z
dc.date.available2018-03-28T22:30:56Z
dc.identifier
dc.identifierAip Conference Proceedings. , v. 1490, n. 1, p. 126 - 134, 2012.
dc.identifier0094243X
dc.identifier10.1063/1.4759596
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84870191693&partnerID=40&md5=2b6a48907384a9ecd9d33dcd19b3f54f
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/90442
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/90442
dc.identifier2-s2.0-84870191693
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1260221
dc.descriptionIn this work we explore the decoding process when information words have different semantic values. In that setting, we introduce a convenient loss function that allows us to express the overall performance of a decoding scheme for discrete channels, switching the usual goal of minimizing the error probability to that of minimizing the expected loss. © 2012 American Institute of Physics.
dc.description1490
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dc.description126
dc.description134
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dc.languageen
dc.publisher
dc.relationAIP Conference Proceedings
dc.rightsaberto
dc.sourceScopus
dc.titleBayes Decoding For Discrete Linear Channels With Semantic Value Of Information
dc.typeActas de congresos


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