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dc.contributor.authorIlić, Velimiren
dc.contributor.authorDupraz, Elsaen
dc.contributor.authorDeclercq, Daviden
dc.contributor.authorVasić, Baneen
dc.date.accessioned2020-04-27T10:55:13Z-
dc.date.available2020-04-27T10:55:13Z-
dc.date.issued2014-01-30en
dc.identifier.isbn978-1-479-98009-3en
dc.identifier.urihttp://researchrepository.mi.sanu.ac.rs/handle/123456789/865-
dc.description.abstractIn this paper we propose a uniformly reweighted a posteriori probability (APP) decoder. The APP decoder is well-known to be suboptimal compared to the BP decoder. Here, we derive the APP decoder as an algorithm of approximate Bayesian inference on the LDPC code graph and introduce a correction parameter to overcome the suboptimaly of the APP decoder. We optimize numerically the correction parameter and show that it improves the BER performance of the APP decoder compared to its non-corrected version. In addition, the original APP decoder requires memory that is linear in the number of edges in the code graph. Here, we propose a memory efficient implementation of the algorithm that requires memory that is linear only in the codeword length.en
dc.publisherIEEE-
dc.relation.ispartof2014 52nd Annual Allerton Conference on Communication, Control, and Computing, Allerton 2014en
dc.titleUniformly reweighted APP decoder for memory efficient decoding of LDPC Codesen
dc.typeConference Paperen
dc.relation.conference52nd Annual Allerton Conference on Communication, Control, and Computing, Allerton 2014; Monticello; United States; 30 September 2014 through 3 October 2014-
dc.identifier.doi10.1109/ALLERTON.2014.7028595en
dc.identifier.scopus2-s2.0-84946685314en
dc.relation.firstpage1228en
dc.relation.lastpage1232en
item.openairetypeConference Paper-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
crisitem.author.orcid0000-0002-4705-5856-
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