• DocumentCode
    945378
  • Title

    Quantizing for minimum distortion

  • Author

    Max, Joel

  • Volume
    6
  • Issue
    1
  • fYear
    1960
  • fDate
    3/1/1960 12:00:00 AM
  • Firstpage
    7
  • Lastpage
    12
  • Abstract
    This paper discusses the problem of the minimization of the distortion of a signal by a quantizer when the number of output levels of the quantizer is fixed. The distortion is defined as the expected value of some function of the error between the input and the output of the quantizer. Equations are derived for the parameters of a quantizer with minimum distortion. The equations are not soluble without recourse to numerical methods, so an algorithm is developed to simplify their numerical solution. The case of an input signal with normally distributed amplitude and an expected squared error distortion measure is explicitly computed and values of the optimum quantizer parameters are tabulated. The optimization of a quantizer subject to the restriction that both input and output levels be equally spaced is also treated, and appropriate parameters are tabulated for the same case as above.
  • Keywords
    Signal sampling/reconstruction; Decision theory; Distortion measurement; Distributed computing; Equations; Error analysis; Information theory; Maximum likelihood detection; Maximum likelihood estimation; Probability; Quantization; Signal detection; Transmitters; Yield estimation;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IRE Transactions on
  • Publisher
    ieee
  • ISSN
    0096-1000
  • Type

    jour

  • DOI
    10.1109/TIT.1960.1057548
  • Filename
    1057548