• DocumentCode
    3273961
  • Title

    Optimal permutation codes for uniform sources

  • Author

    Goyal, Vivek K. ; Savari, Serap A. ; Wang, Wei

  • Author_Institution
    Digital Fountain, Fremont, CA, USA
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    30
  • Abstract
    Permutation codes are vector quantizers whose code vectors are related by permutations and, in one variant, sign changes. Asymptotically, as the vector dimension grows, optimal permutation code design is identical to optimal entropy-constrained scalar quantizer (ECSQ) design. However, contradicting intuition and previously published assertions, there are finite block length permutation codes that perform better than the best ones with asymptotically large length; thus, there are permutation codes whose performances cannot be matched by ECSQ. Specific counterexamples are created with a memoryless uniform source
  • Keywords
    codes; rate distortion theory; source coding; vector quantisation; ECSQ; code vectors; entropy-constrained scalar quantizer; finite block length permutation codes; memoryless uniform source; optimal permutation codes; rate-distortion sense; sign changes; vector dimension; vector quantizers; Encoding; Statistical distributions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2001. Proceedings. 2001 IEEE International Symposium on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    0-7803-7123-2
  • Type

    conf

  • DOI
    10.1109/ISIT.2001.935893
  • Filename
    935893