• DocumentCode
    1895964
  • Title

    Coding for the Slepian-Wolf problem with turbo codes

  • Author

    Bajcsy, Jan ; Mitran, Patrick

  • Author_Institution
    Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, Que., Canada
  • Volume
    2
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    1400
  • Abstract
    This paper proposes a practical coding scheme for the Slepian-Wolf problem of separate encoding of correlated sources. Finite-state machine (FSM) encoders, concatenated in parallel, are used at the transmit side and an iterative turbo decoder is applied at the receiver. Simulation results of system performance are presented for binary sources with different amounts of correlation. Obtained results show that the proposed technique outperforms by far both an equivalent uncoded system and a system coded with traditional (non-concatenated) FSM coding
  • Keywords
    binary codes; concatenated codes; correlation theory; data compression; finite state machines; iterative decoding; turbo codes; FSM encoders; Slepian-Wolf problem; binary sources; coding scheme; concatenated codes; correlated sources; data compression; encoding; finite-state machine; iterative turbo decoder; parallel encoder; performance; receiver; transmitter; Block codes; Concatenated codes; Encoding; Entropy; Error probability; Iterative decoding; Statistics; Sufficient conditions; System performance; Turbo codes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 2001. GLOBECOM '01. IEEE
  • Conference_Location
    San Antonio, TX
  • Print_ISBN
    0-7803-7206-9
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2001.965721
  • Filename
    965721