• DocumentCode
    2049238
  • Title

    Asymptotic Optimal Lossless Compression via the CSE Technique

  • Author

    Yokoo, Hidetoshi

  • Author_Institution
    Dept. of Comput. Sci., Gunma Univ., Kiryu, Japan
  • fYear
    2011
  • fDate
    21-24 June 2011
  • Firstpage
    11
  • Lastpage
    18
  • Abstract
    A novel loss less compression algorithm known as compression by sub string enumeration (CSE) is analyzed and modified. The CSE compression algorithm is a block-based, off-line method, as is the case with enumerative codes and the block-sorting compression scheme. First, we propose an encoding model that achieves asymptotic optimality for stationary ergodic sources. The codeword length attained by the proposed model converges almost surely to the entropy rate of a source when the length of a string generated by the source tends to infinity. Then, we propose a novel decoding algorithm that requires fewer code words than the original CSE.
  • Keywords
    decoding; sorting; source coding; string matching; CSE compression algorithm; asymptotic optimal lossless compression; block-based offline method; block-sorting compression scheme; codeword length; compression by substring enumeration; decoding algorithm; encoding model; enumerative codes; source entropy rate; stationary ergodic source; Arrays; Compression algorithms; Computational modeling; Decoding; Encoding; Entropy; Predictive models; Asymptotic optimality; BWT; CSE; data compression; lossless; universal codes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression, Communications and Processing (CCP), 2011 First International Conference on
  • Conference_Location
    Palinuro
  • Print_ISBN
    978-1-4577-1458-0
  • Electronic_ISBN
    978-0-7695-4528-8
  • Type

    conf

  • DOI
    10.1109/CCP.2011.32
  • Filename
    6061022