• DocumentCode
    1155124
  • Title

    Low-Resolution Scalar Quantization for Gaussian Sources and Absolute Error

  • Author

    Marco, Daniel ; Neuhoff, David L.

  • Author_Institution
    Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA
  • Volume
    53
  • Issue
    3
  • fYear
    2007
  • fDate
    3/1/2007 12:00:00 AM
  • Firstpage
    1177
  • Lastpage
    1179
  • Abstract
    This correspondence considers low-resolution scalar quantization for a memoryless Gaussian source with respect to absolute error distortion. It shows that slope of the operational rate-distortion function of scalar quantization is infinite at the point Dmax where the rate becomes zero. Thus, unlike the situation for squared error distortion, or for Laplacian and exponential sources with squared or absolute error distortion, for a Gaussian source and absolute error, scalar quantization at low rates is far from the Shannon rate-distortion function, i.e., far from the performance of the best lossy coding technique
  • Keywords
    Gaussian processes; memoryless systems; quantisation (signal); signal resolution; source coding; Laplacian source; absolute error distortion; exponential sources; low-resolution scalar quantization; memoryless Gaussian source; operational rate-distortion function; Computer errors; Distortion measurement; Entropy; Laplace equations; Mathematics; Performance loss; Quantization; Rate-distortion; Source coding; Transform coding; Absolute error; Gaussian; entropy constrained quantization; low rate; low resolution; scalar quantization;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2006.890714
  • Filename
    4106132