Skip to main navigation Skip to search Skip to main content

The complexity of hard-decision decoding of linear codes

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    Abstract

    We study a general method of minimum distance decoding of linear codes that instead of decoding the original code recovers the transmitted codeword by a number of decodings of shortened codes. We present an implementation of this method whose complexity for long linear codes has the smallest known value for any code rate R, 0<R<1.

    Original languageEnglish
    Title of host publicationProceedings - 1997 IEEE International Symposium on Information Theory, ISIT 1997
    Pages331
    Number of pages1
    DOIs
    Publication statusPublished - 1997
    Event1997 IEEE International Symposium on Information Theory, ISIT 1997 - Ulm, Germany
    Duration: 29 Jun 19974 Jul 1997

    Conference

    Conference1997 IEEE International Symposium on Information Theory, ISIT 1997
    Country/TerritoryGermany
    CityUlm
    Period29/06/974/07/97
    OtherProc. 1997 IEEE International Symposium on Information Theory, Ulm, Germany, 29 June - 2 July 1997

    Fingerprint

    Dive into the research topics of 'The complexity of hard-decision decoding of linear codes'. Together they form a unique fingerprint.

    Cite this