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dc.contributor.authorChilappagari, Shashi Kiran
dc.contributor.authorVasic, Bane
dc.date.accessioned2020-07-31T23:43:06Z
dc.date.available2020-07-31T23:43:06Z
dc.date.issued2009-04-21
dc.identifier.citationS. K. Chilappagari and B. Vasic, "Error-Correction Capability of Column-Weight-Three LDPC Codes," in IEEE Transactions on Information Theory, vol. 55, no. 5, pp. 2055-2061, May 2009, doi: 10.1109/TIT.2009.2015990.en_US
dc.identifier.issn0018-9448
dc.identifier.doi10.1109/tit.2009.2015990
dc.identifier.urihttp://hdl.handle.net/10150/641964
dc.description.abstractIn this paper, the error-correction capability of column-weight-three low-density parity-check (LDPC) codes when decoded using the Gallager A algorithm is investigated. It is proved that a necessary condition for a code to correct all error patterns with up to k ges 5 errors is to avoid cycles of length up to 2k in its Tanner graph. As a consequence of this result, it is shown that given any alpha > 0, exist N such that forall n > N, no code in the ensemble of column-weight-three codes can correct all alphan or fewer errors. The results are extended to the bit flipping algorithms.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.rightsCopyright © 2009 IEEE.en_US
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en_US
dc.subjectError-correction capabilityen_US
dc.subjectGallager A algorithmen_US
dc.subjectTanner graphen_US
dc.subjecttrapping setsen_US
dc.subjectlow-density parity-check (LDPC) codesen_US
dc.titleError-Correction Capability of Column-Weight-Three LDPC Codesen_US
dc.typeArticleen_US
dc.contributor.departmentUniv Arizona, Dept Elect & Comp Engnen_US
dc.identifier.journalIEEE Transactions on Information Theoryen_US
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en_US
dc.eprint.versionFinal accepted manuscripten_US
dc.source.journaltitleIEEE Transactions on Information Theory
dc.source.volume55
dc.source.issue5
dc.source.beginpage2055
dc.source.endpage2061
refterms.dateFOA2020-07-31T23:43:07Z


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