• DocumentCode
    2923343
  • Title

    A Variable Rate Slepian-Wolf Code Construction Using Concatenated Convolutional Codes

  • Author

    Zamani, Mahdi ; Lahouti, Farshad

  • Author_Institution
    Univ. of Waterloo, Waterloo
  • fYear
    2007
  • fDate
    6-8 June 2007
  • Firstpage
    53
  • Lastpage
    56
  • Abstract
    A variable rate Slepian-Wolf (SW) code is constructed which is vital for wireless sensor network applications. A practical scheme to construct SW codes is to use the syndrome of a channel code as a compressed representation of a codeword in presence of a side information (Pradhan and Ramchandran, 2003). The proposed solution is based on an efficient and practical algorithm to compute the syndrome of rate-compatible convolutional codes (RCPC). By using this algorithm, there is no need to compute the syndrome of punctured version of the mother code for each puncturing matrix which is complex. Instead, the the syndrome of the punctured code is designed to be the punctured version of the syndrome of the mother code using the same pattern of puncturing. The algorithm is general for all convolutional codes in Zq. The strategy is also generalized for parallel and serial concatenated convolutional codes.
  • Keywords
    channel coding; concatenated codes; convolutional codes; wireless sensor networks; SW code; channel code; concatenated convolutional code; punctured code; rate-compatible convolutional codes; variable rate Slepian-Wolf code construction; wireless sensor network; Application software; Concatenated codes; Convolutional codes; Decoding; History; Mutual information; Parity check codes; Sensor phenomena and characterization; Source coding; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2007. CWIT '07. 10th Canadian Workshop on
  • Conference_Location
    Edmonton, Alta.
  • Print_ISBN
    1-4244-0769-9
  • Electronic_ISBN
    1-4244-0769-9
  • Type

    conf

  • DOI
    10.1109/CWIT.2007.375699
  • Filename
    4259753