• DocumentCode
    2009366
  • Title

    Uniform scalar quantizers-distortion and the additive noise model

  • Author

    Marco, Daniel ; Neuhoff, David L.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci.,, Michigan Univ., Ann Arbor, MI, USA
  • fYear
    2003
  • fDate
    29 June-4 July 2003
  • Firstpage
    462
  • Abstract
    High-resolution infinite level uniform scalar quantizers are considered for the two cases when cell midpoints and cell centroids are used as reconstruction levels. First, it is shown that asymptotically, as the cell size goes to zero, midpoints induce the same MSE as centroids. Hence, they are asymptotically MSE optimal. Secondly, sufficient conditions are found under which the commonly used additive noise model, when midpoints are used, is asymptotically correct. It is also shown that for input probability density functions (pdf´s) that have a single jump discontinuity not at the origin, such a model is not well defined and consequently incorrect.
  • Keywords
    distortion; mean square error methods; probability; quantisation (signal); signal resolution; MSE; additive noise model; cell centroid; high-resolution infinite level uniform scalar quantizers; mean square error methods; probability density functions; Additive noise; Density functional theory; Error correction; Quantization; Random variables; Sufficient conditions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2003. Proceedings. IEEE International Symposium on
  • Print_ISBN
    0-7803-7728-1
  • Type

    conf

  • DOI
    10.1109/ISIT.2003.1228479
  • Filename
    1228479