• DocumentCode
    2345376
  • Title

    Shannon-Hartley entropy ratio under Zipf law

  • Author

    Krichevskii, R.E. ; Scharova, M.P.

  • Author_Institution
    Math. Inst., Novosibirsk State Univ., Russia
  • fYear
    1994
  • fDate
    27-29 Oct 1994
  • Firstpage
    66
  • Abstract
    We find a formula for Shannon´s-Hartley´s entropy Ratio of a text governed by the Zipf law. The formula is in a good agreement with real texts. It is asymptotically 1/2+loglog|D|/log|D||D| being the size of the text´s dictionary, lim|D|=∞. It means that a word to variable length code might significantly outperform a word to fixed length one for large dictionaries only
  • Keywords
    entropy; variable length codes; word processing; Shannon-Hartley entropy ratio; Zipf law; fixed length code; large dictionaries; text; text dictionary size; variable length code; Books; Costs; Dictionaries; Entropy; Frequency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory and Statistics, 1994. Proceedings., 1994 IEEE-IMS Workshop on
  • Conference_Location
    Alexandria, VA
  • Print_ISBN
    0-7803-2761-6
  • Type

    conf

  • DOI
    10.1109/WITS.1994.513895
  • Filename
    513895