• DocumentCode
    1283105
  • Title

    Linear Interactive Encoding and Decoding for Lossless Source Coding With Decoder Only Side Information

  • Author

    Meng, Jin ; Yang, En-Hui ; He, Da-Ke

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
  • Volume
    57
  • Issue
    8
  • fYear
    2011
  • Firstpage
    5281
  • Lastpage
    5297
  • Abstract
    Linear interactive encoding and decoding (IED) for near lossless source coding with decoder only side information is considered, where the interactive encoder uses linear codes (described by parity-check matrices over a finite field X) for encoding. It is first demonstrated how to convert any classical universal lossless code Cn (with block length n and with side information available to both the encoder and decoder) into a universal random linear IED scheme based on Gallager´s parity check ensemble. It is then shown that there is no performance loss by restricting IED to linear IED, and that the universal random linear IED scheme based on Gallager´s parity check ensemble achieves essentially the same rate performance as does Cn for each and every individual sequence pair (xn, yn) while the word decoding error probability goes to 0 as n → ∞ . Define the density of a linear IED scheme as the percentage of nonzero entries in its parity-check matrix. To reduce the encoding complexity of linear IED, low density linear IED is further investigated in terms of the trade-off among its rate, decoding error probability, and density.
  • Keywords
    linear codes; parity check codes; source coding; Gallager parity check ensemble; linear codes; linear interactive decoding; linear interactive encoding; lossless source coding; Bit rate; Decoding; Error probability; Matrix converters; Parity check codes; Source coding; Distributed source coding; Slepian-Wolf coding; entropy and conditional entropy; individual sequences; interactive encoding and decoding; parity-check matrix; stationary and ergodic sources;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2011.2158899
  • Filename
    5961856