• DocumentCode
    3059531
  • Title

    Hamming coding for Multiple Sources

  • Author

    Ma, Rick ; Cheng, Samuel

  • Author_Institution
    Dept. of Math., Hong Kong Univ. of Sci. & Technol., Hong Kong, China
  • fYear
    2010
  • fDate
    13-18 June 2010
  • Firstpage
    171
  • Lastpage
    175
  • Abstract
    We introduce Hamming Codes for Multiple Sources (HCMSs) as a potential solution of perfect Slepian-Wolf (SW) coding for arbitrary number of terminals. Moreover, we study the case with three sources in detail. We present the necessary conditions of a perfect SW code and show that there exists infinite number of HCMSs. Moreover, we show that for perfect SW code with sufficiently long code length, the compression rates of different sources can be trade-off flexibly.
  • Keywords
    Hamming codes; data compression; Hamming codes for multiple sources; compression rates; perfect Slepian-Wolf coding; Base stations; Channel coding; Decoding; Encoding; Entropy; Hydrogen; Mathematics; Source coding; Hamming code; Slepian-Wolf coding; distributed source coding; perfect code;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2010 IEEE International Symposium on
  • Conference_Location
    Austin, TX
  • Print_ISBN
    978-1-4244-7890-3
  • Electronic_ISBN
    978-1-4244-7891-0
  • Type

    conf

  • DOI
    10.1109/ISIT.2010.5513256
  • Filename
    5513256