• DocumentCode
    3126531
  • Title

    Lossy source coding via spatially coupled LDGM ensembles

  • Author

    Aref, Vahid ; Macris, Nicolas ; Urbanke, Rüdiger ; Vuffray, Marc

  • Author_Institution
    LTHC, EPFL, Lausanne, Switzerland
  • fYear
    2012
  • fDate
    1-6 July 2012
  • Firstpage
    373
  • Lastpage
    377
  • Abstract
    We study a new encoding scheme for lossy source compression based on spatially coupled low-density generatormatrix codes. We develop a belief-propagation guided-decimation algorithm, and show that this algorithm allows to approach the optimal distortion of spatially coupled ensembles. Moreover, using the survey propagation formalism, we also observe that the optimal distortions of the spatially coupled and individual code ensembles are the same. Since regular low-density generatormatrix codes are known to achieve the Shannon rate-distortion bound under optimal encoding as the degrees grow, our results suggest that spatial coupling can be used to reach the rate-distortion bound, under a low complexity belief-propagation guided-decimation algorithm.
  • Keywords
    source coding; Shannon rate-distortion bound; individual code ensemble; lossy source coding scheme; lossy source compression; low complexity belief-propagation guided-decimation algorithm; low-density generator-matrix code; optimal distortion; optimal encoding; spatially coupled LDGM ensemble; survey propagation formalism; Belief propagation; Channel coding; Distortion measurement; Equations; Parity check codes; Rate-distortion; LDGM; Lossy source coding; belief propagation guided decimation; rate distortion bound; spatial coupling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2012 IEEE International Symposium on
  • Conference_Location
    Cambridge, MA
  • ISSN
    2157-8095
  • Print_ISBN
    978-1-4673-2580-6
  • Electronic_ISBN
    2157-8095
  • Type

    conf

  • DOI
    10.1109/ISIT.2012.6284212
  • Filename
    6284212