• DocumentCode
    2295021
  • Title

    Dense coding-a fast alternative to arithmetic coding

  • Author

    Gräf, Ulrich

  • Author_Institution
    Inst. of Theor. Comput. Sci., Tech. Hochschule Darmstadt, Germany
  • fYear
    1997
  • fDate
    11-13 Jun 1997
  • Firstpage
    295
  • Lastpage
    304
  • Abstract
    With dense coding a new method for minimum redundancy coding is introduced. An analysis of arithmetic coding shows, that it is essentially identical to an encoding of discrete intervals. Interval coding is introduced, which encodes symbols directly by encoding the corresponding discrete intervals. Dense coding is an enhanced variant of interval coding, where redundancies are mostly removed with a new technique called conditional coding. Conditional coding is at most 0.086071... bits per encoding step (0.057304... bits in average) longer than optimal encoding. Dense coding uses conditional coding twice and is therefore 0.114608... bits per encoding step worse than the theoretical limit (unlimited precision arithmetic coding). Dense coding is a lot faster than arithmetic coding or Huffman coding and achieves nearly the same compact code as arithmetic coding
  • Keywords
    arithmetic codes; decoding; Huffman coding; arithmetic coding; conditional coding; data compression; decoding; dense coding; discrete interval encoding; minimum redundancy coding; optimal encoding; Arithmetic; Character recognition; Computer science; Data compression; Decoding; Dictionaries; Encoding; Huffman coding; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Compression and Complexity of Sequences 1997. Proceedings
  • Conference_Location
    Salerno
  • Print_ISBN
    0-8186-8132-2
  • Type

    conf

  • DOI
    10.1109/SEQUEN.1997.666924
  • Filename
    666924