• DocumentCode
    1619830
  • Title

    Symmetric Distributed Source Coding using LDPC Code

  • Author

    Bai, Baochun ; Yang, Yang ; Boulanger, Pierre ; Harms, Janelle

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Alberta, Edmonton, AB
  • fYear
    2008
  • Firstpage
    1892
  • Lastpage
    1897
  • Abstract
    Distributed source coding is a promising enabling technology for sensor network applications. Symmetric distributed source coding can achieve the entire Slepian-Wolf rate region and offer sensor network applications a wide range of options to compress and transmit data. In this paper, we design a new symmetric distributed coding scheme that realize the benefits of both simplified code construction and bit incorrespondence handling. In particular, we propose a general scheme to deal with the bit incorrespondence problem, which is not specifically addressed by previous approaches. With the ability to deal with the bit incorrespondence in the code structure, it is more likely for our approach to be used in real sensor network environments.
  • Keywords
    parity check codes; source coding; wireless sensor networks; Slepian-Wolf rate region; bit incorrespondence problem; data compression; data transmission; low density parity check code; sensor network; symmetric distributed source coding; Application software; Communications Society; Computer networks; Data compression; Decoding; Distributed computing; Parity check codes; Personal digital assistants; Source coding; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2008. ICC '08. IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2075-9
  • Electronic_ISBN
    978-1-4244-2075-9
  • Type

    conf

  • DOI
    10.1109/ICC.2008.363
  • Filename
    4533399