• DocumentCode
    2270593
  • Title

    Tracking the best quantizer

  • Author

    György, András ; Linder, Tamás ; Lugosi, Gábor

  • Author_Institution
    Comput. & Autom. Res. Inst., Hungarian Acad. of Sci., Budapest
  • fYear
    2005
  • fDate
    4-9 Sept. 2005
  • Firstpage
    1163
  • Lastpage
    1167
  • Abstract
    In this paper we consider zero delay lossy coding schemes for individual sequences, and address the problem of tracking the best scalar quantizer which is adaptively matched to the sequence. The problem is an individual-sequence version of the problem of scalar quantization of piecewise stationary sources. A randomized algorithm is presented which can perform, on any source sequence, asymptotically as well as the best scalar quantization algorithm matched to the sequence which is allowed to change the employed quantizer from time to time. The complexity of the algorithm is quadratic in the sequence length. At the price of a slight deterioration of performance, the complexity can be made linear in the sequence length
  • Keywords
    sequential codes; source coding; piecewise stationary sources; randomized algorithm; scalar quantization algorithm; zero delay lossy coding schemes; Automation; Decoding; Delay; Distortion measurement; Informatics; Laboratories; Mathematics; Quantization; Source coding; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2005. ISIT 2005. Proceedings. International Symposium on
  • Conference_Location
    Adelaide, SA
  • Print_ISBN
    0-7803-9151-9
  • Type

    conf

  • DOI
    10.1109/ISIT.2005.1523524
  • Filename
    1523524