• DocumentCode
    1522261
  • Title

    Low-complexity sequential lossless coding for piecewise-stationary memoryless sources

  • Author

    Shamir, Gil I. ; Merhav, Neri

  • Author_Institution
    Dept. of Electr. Eng., Notre Dame Univ., IN, USA
  • Volume
    45
  • Issue
    5
  • fYear
    1999
  • fDate
    7/1/1999 12:00:00 AM
  • Firstpage
    1498
  • Lastpage
    1519
  • Abstract
    Three strongly sequential, lossless compression schemes, one with linearly growing per-letter computational complexity, and two with fixed per-letter complexity, are presented and analyzed for memoryless sources with abruptly changing statistics. The first method, which improves on Willems´ (1994) weighting approach, asymptotically achieves a lower bound on the redundancy, and hence is optimal. The second scheme achieves redundancy of O(log N/N) when the transitions in the statistics are large, and O (log log N/log N) otherwise. The third approach always achieves redundancy of O (√log N/N). Obviously, the two fixed complexity approaches can be easily combined to achieve the better redundancy between the two. Simulation results support the analytical bounds derived for all the coding schemes
  • Keywords
    computational complexity; convergence of numerical methods; data compression; memoryless systems; source coding; Willems´ weighting approach; abruptly changing statistics; analytical bounds; convergence rate; fixed per-letter complexity; linearly growing per-letter computational complexity; lossless compression; low-complexity sequential lossless coding; lower bound; piecewise-stationary memoryless sources; redundancy; simulation results; Analytical models; Block codes; Computational complexity; Entropy; Gas insulated transmission lines; Satellite communication; Satellite ground stations; Statistical analysis; Statistics; Yield estimation;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.771150
  • Filename
    771150