• DocumentCode
    2945801
  • Title

    Variable-Length Source Compression Using Successive Refinement and Non-linear Graph-Based Codes

  • Author

    Ramirez-Javega, Francisco ; Lamarca, Meritxell

  • Author_Institution
    Univ. Politec. de Catalunya, Barcelona, Spain
  • fYear
    2011
  • fDate
    29-31 March 2011
  • Firstpage
    473
  • Lastpage
    473
  • Abstract
    In this paper, the authors propose a variable length source code that achieves very good performance even for short sequences and has low encoding complexity, although it does not achieve the theoretical limit. Furthermore, the performance can be predicted for infinite codeword length with close form expressions, and has been proven to be good even when a suboptimum decoder with very low complexity is employed at the decoder side.
  • Keywords
    decoding; graph theory; sequences; source coding; infinite codeword length; low encoding complexity; nonlinear graph based codes; short sequences; suboptimum decoder; successive refinement; variable length source code; variable length source compression; Adaptation model; Bit error rate; Complexity theory; Data compression; Decoding; Encoding; Entropy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference (DCC), 2011
  • Conference_Location
    Snowbird, UT
  • ISSN
    1068-0314
  • Print_ISBN
    978-1-61284-279-0
  • Type

    conf

  • DOI
    10.1109/DCC.2011.77
  • Filename
    5749530