• DocumentCode
    2949485
  • Title

    Low Rate 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
  • fYear
    2006
  • fDate
    9-14 July 2006
  • Firstpage
    2551
  • Lastpage
    2553
  • Abstract
    This paper 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; quantisation (signal); source coding; Shannon rate-distortion function; absolute error distortion; lossy coding technique; low rate scalar quantization; memoryless Gaussian source; operational rate-distortion function; Computer errors; Distortion measurement; Laplace equations; Mathematics; Performance loss; Quantization; Rate distortion theory; Rate-distortion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2006 IEEE International Symposium on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    1-4244-0505-X
  • Electronic_ISBN
    1-4244-0504-1
  • Type

    conf

  • DOI
    10.1109/ISIT.2006.262092
  • Filename
    4036432