• DocumentCode
    1412731
  • Title

    Asymptotically optimal low-complexity sequential lossless coding for piecewise-stationary memoryless sources .I. The regular case

  • Author

    Shamir, G.I. ; Costello, D.J., Jr.

  • Author_Institution
    Dept. of Electr. Eng., Notre Dame Univ., IN, USA
  • Volume
    46
  • Issue
    7
  • fYear
    2000
  • Firstpage
    2444
  • Lastpage
    2467
  • Abstract
    The lower bound on the redundancy for lossless universal coding of regular memoryless sources with a bounded number of abrupt changes in the statistics is shown to be asymptotically achievable using a fixed per-letter computational complexity sequential compression scheme with fixed storage complexity. The scheme which outperforms any other known fixed-complexity scheme when regularity conditions hold is presented, and its redundancy is upper-bounded. Although the upper bounds are merely asymptotic, simulation results show that even for relatively short sequences, the redundancy obtained by asymptotically optimal schemes of higher complexity can still be achieved with fixed per-letter complexity. Furthermore, in practice, a fixed-complexity scheme based on the proposed scheme can in most cases achieve optimal redundancy even when the regularity conditions do not hold.
  • Keywords
    computational complexity; memoryless systems; optimisation; source coding; statistical analysis; asymptotic upper bounds; asymptotically optimal low-complexity coding; fixed per-letter computational complexity; fixed storage complexity; lossless universal coding; lower bound; optimal redundancy; piecewise-stationary memoryless sources; regular memoryless sources; regularity conditions; sequential compression; sequential lossless coding; short sequences; simulation results; statistics; upper-bounded redundancy; Source coding;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.887857
  • Filename
    887857