• DocumentCode
    2608167
  • Title

    Lossy universal source coding for individual sequences

  • Author

    Sau, J.D. ; Bansal, R.K. ; Barthwal, N.

  • Author_Institution
    Dept. of Electr. Eng., Indian Inst. of Technol., Kanpur, India
  • fYear
    2002
  • fDate
    20-25 Oct. 2002
  • Firstpage
    201
  • Abstract
    Under weak restriction on the distortion measure the continuity of the. single letter distortion measure is established with respect to a suitable distance measure on the sequence space of elements drawn from the representation alphabet. This in turn translates into properties of the distortion rate function. Using subtleties about the behavior of the sequence distortion measure we develop a proof of convexity of the distortion rate function in full generality. A generalization of the optimality of Lempel Ziv algorithm with regard to finite state codes and stationary and ergodic sources with finite alphabet is presented for a more general class of universal codes applied to individual sequences.
  • Keywords
    rate distortion theory; sequences; source coding; Lempel Ziv algorithm; convexity proof; distance measure; distortion measure; distortion rate function; ergodic sources; finite alphabet; finite state codes; individual sequences; lossy universal source coding; representation alphabet; stationary sources; Compression algorithms; Decoding; Distortion measurement; Electric variables measurement; Hamming distance; Measurement standards; Physics; Rate distortion theory; Source coding; Space technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Workshop, 2002. Proceedings of the 2002 IEEE
  • Print_ISBN
    0-7803-7629-3
  • Type

    conf

  • DOI
    10.1109/ITW.2002.1115457
  • Filename
    1115457