• DocumentCode
    1098671
  • Title

    Estimating distortion in a binary symmetric channel consistently

  • Author

    Simons, Gordon

  • Author_Institution
    Dept. of Stat., North Carolina Univ., Chapel Hill, NC, USA
  • Volume
    37
  • Issue
    5
  • fYear
    1991
  • fDate
    9/1/1991 12:00:00 AM
  • Firstpage
    1466
  • Lastpage
    1470
  • Abstract
    The problem of estimating the distortion in a binary symmetric channel is examined. A consistent estimator is described, and its performance is assessed numerically. The estimator is based solely on the information contained in the channel output. The channel input is viewed as an unobservable nuisance parameter that satisfies a weak basic assumption that (1) makes the problem of estimation viable, and (2) seems swell suited for use in an imaging context, under which the input is viewed as the true image and the output is viewed as the observed image
  • Keywords
    information theory; parameter estimation; telecommunication channels; binary symmetric channel; consistent estimator; distortion estimation; imaging context; unobservable nuisance parameter; Bayesian methods; Context modeling; Distortion measurement; Entropy; Statistics;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.133270
  • Filename
    133270