• DocumentCode
    169312
  • Title

    Fundamental limits of universal lossless one-to-one compression of parametric sources

  • Author

    Beirami, Ahmad ; Fekri, Faramarz

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Duke Univ., Durham, NC, USA
  • fYear
    2014
  • fDate
    2-5 Nov. 2014
  • Firstpage
    212
  • Lastpage
    216
  • Abstract
    In this paper, the problem of universal lossless one-to-one compression (without prefix constraint) is studied. A converse bound is obtained on the average minimax (and maximin) redundancy that shows the redundancy is at least (d-2)=2 log n+O(1) for the universal compression of a sequence of length n from a d-dimensional parametric source. Further, the type-size coding strategy is shown to be minimax optimal up to o(log n) for the class of memoryless sources, achieving the converse leading to characterization of the fundamental performance limit of universal compression for memoryless sources. Finally, through a numerical example, our results imply that the reduction on the codeword length due to relaxing the prefix constraint is negligible when compared to the cost of universality.
  • Keywords
    computational complexity; data compression; redundancy; source coding; average minimax redundancy; codeword length; converse bound; d-dimensional parametric source; memoryless sources; prefix constraint; type-size coding strategy; universal lossless one-to-one compression; Channel coding; Entropy; Markov processes; Redundancy; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Workshop (ITW), 2014 IEEE
  • Conference_Location
    Hobart, TAS
  • ISSN
    1662-9019
  • Type

    conf

  • DOI
    10.1109/ITW.2014.6970823
  • Filename
    6970823