Maximum Weight Basis Decoding of Convolutional Codes

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dc.citation.bibtexNamemiscen_US
dc.citation.journalTitleWireless Communication and Networking Conferenceen_US
dc.contributor.authorDas, Sumanen_US
dc.contributor.authorErkip, Elzaen_US
dc.contributor.authorCavallaro, Joseph R.en_US
dc.contributor.authorAazhang, Behnaamen_US
dc.contributor.orgCenter for Multimedia Communications (http://cmc.rice.edu/)en_US
dc.date.accessioned2007-10-31T00:41:32Z
dc.date.available2007-10-31T00:41:32Z
dc.date.issued2000-06-20
dc.date.modified2003-11-10en_US
dc.date.submitted2001-08-18en_US
dc.descriptionPresentationen_US
dc.description.abstractThe effectiveness of the convolutional code increases with the constraint length of the code. Unfortunately the decoding complexity of Viterbi algorithm grows exponentially with the constraint length. In this paper we propose a suboptimal decoding method based on the calculation of the maximum weight basis of the convolutional code. We extend the algorithm to incorporate the ideas of list decoding method. The complexity of the algorithm grows only quadratically with the constraint length and the performance of the algorithm is comparable to the optimal Viterbi decoding method.en_US
dc.description.sponsorshipTexas Advanced Technology Programen_US
dc.description.sponsorshipNokiaen_US
dc.description.sponsorshipNational Science Foundationen_US
dc.identifier.citationS. Das, E. Erkip, J. R. Cavallaro and B. Aazhang, "Maximum Weight Basis Decoding of Convolutional Codes," <i>Wireless Communication and Networking Conference,</i> 2000.
dc.identifier.doihttp://dx.doi.org/10.1109/GLOCOM.2000.891256en_US
dc.identifier.urihttps://hdl.handle.net/1911/19829
dc.language.isoeng
dc.subjectconvolutional code*
dc.subjectViterbi algorithm*
dc.subjectdecoding*
dc.subject.keywordconvolutional codeen_US
dc.subject.keywordViterbi algorithmen_US
dc.subject.keyworddecodingen_US
dc.titleMaximum Weight Basis Decoding of Convolutional Codesen_US
dc.typePresentation
dc.type.dcmiText
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