• DocumentCode
    3226962
  • Title

    Re-pair Achieves High-Order Entropy

  • Author

    Navarro, Gonzalo ; Russo, Luís

  • Author_Institution
    Univ. of Chile, Santiago
  • fYear
    2008
  • fDate
    25-27 March 2008
  • Firstpage
    537
  • Lastpage
    537
  • Abstract
    Re-pair is a dictionary-based compression method invented in 1999 by J. Larsson and A. Moffat [Off-line dictionary-based compression. Proc. IEEE, 88(11):1722-1732, 2000], lacking up to now an efficiency analysis. We show that re-pair compresses a sequence T[1,n] over an alphabet of size sigma to at most 2nHk + o(n log sigma) bits, for any k = o(logsigma n), where Hk is either the classical information-theory or the empirical k-th order entropy (in the latter, the model is inferred from the sequence statistics).
  • Keywords
    data compression; entropy; sequences; statistical analysis; dictionary-based compression method; high-order entropy; information theory; re-pair; sequence compression; sequence statistics; Algebra; Compression algorithms; Computer science; Data compression; Dictionaries; Entropy; Frequency; Statistics; empirical entropy; grammar-based compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference, 2008. DCC 2008
  • Conference_Location
    Snowbird, UT
  • ISSN
    1068-0314
  • Print_ISBN
    978-0-7695-3121-2
  • Type

    conf

  • DOI
    10.1109/DCC.2008.79
  • Filename
    4483364