• DocumentCode
    640188
  • Title

    Lossless compression with moderate error probability

  • Author

    Altug, Yucel ; Wagner, Aaron B. ; Kontoyiannis, Ioannis

  • Author_Institution
    Sch. of Electr. & Comp. Eng., Cornell Univ., Ithaca, NY, USA
  • fYear
    2013
  • fDate
    7-12 July 2013
  • Firstpage
    1744
  • Lastpage
    1748
  • Abstract
    For the problem of lossless compression of a memoryless source, we give a detailed, precise characterization of the best achievable error probability, in the “moderate error probability” regime. This is the asymptotic setting where the probability of error decays to zero while at the same time the rate converges to the entropy at a speed no faster than 1/√N. These results combine some of the essential benefits of earlier analyses in terms of error exponents and of Gaussian approximation. Analogous results for the problem of hypothesis testing are also established.
  • Keywords
    Gaussian processes; approximation theory; probability; Gaussian approximation; achievable error probability; asymptotic setting; error decays; error exponents; lossless compression; memoryless source; moderate error probability; precise characterization; Channel coding; Educational institutions; Entropy; Error probability; Source coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2013 IEEE International Symposium on
  • Conference_Location
    Istanbul
  • ISSN
    2157-8095
  • Type

    conf

  • DOI
    10.1109/ISIT.2013.6620526
  • Filename
    6620526