• DocumentCode
    3384102
  • Title

    Binary combinatorial coding

  • Author

    Dai, Vito ; Zakhor, Avideh

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
  • fYear
    2003
  • fDate
    25-27 March 2003
  • Firstpage
    420
  • Abstract
    Summary form only given. A novel binary entropy code, called combinatorial coding (CC), is presented. The theoretical basis for CC has been described previously under the context of universal coding, enumerative coding, and minimum description length. The code described in these references works as follows: assume the source data are binary of length M, memoryless, and generated with an unknown parameter θ (the probability that a "1" occurs). The compression efficiency, and encoding and decoding speed of CC against Huffman and arithmetic coding were tested. Over the entire test, CC achieved the compression efficiency of arithmetic coding, together with the coding speed of Huffman coding.
  • Keywords
    Huffman codes; arithmetic codes; binary codes; combinatorial mathematics; entropy codes; memoryless systems; source coding; CC; Huffman coding; arithmetic coding; binary combinatorial coding; binary entropy code; compression efficiency; decoding speed; encoding speed; enumerative coding; memoryless data; minimum description length; universal coding; Arithmetic; Binary sequences; Computer architecture; Computer science; Decoding; Encoding; Entropy; Image coding; Information theory; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference, 2003. Proceedings. DCC 2003
  • ISSN
    1068-0314
  • Print_ISBN
    0-7695-1896-6
  • Type

    conf

  • DOI
    10.1109/DCC.2003.1194039
  • Filename
    1194039