• DocumentCode
    1195358
  • Title

    Filtering capabilities and convergence of the Van-Cittert deconvolution technique

  • Author

    Bennia, Abdelhak ; Riad, Sedki M.

  • Author_Institution
    Inst. d´´Electron., Constantine Univ., Algeria
  • Volume
    41
  • Issue
    2
  • fYear
    1992
  • fDate
    4/1/1992 12:00:00 AM
  • Firstpage
    246
  • Lastpage
    250
  • Abstract
    The authors demonstrate the application of the Van-Cittert technique in iterative frequency-domain deconvolution. The technique is shown to have built-in filtering capabilities which can be used successfully to produce optimum deconvolution estimates. The Bennia-Riad optimization criterion for iterative deconvolution is jointly used with the Van-Cittert technique to optimize the number of iterations required to achieve acceptable (optimum) deconvolution results. An experimental example is provided to illustrate the application of the deconvolution technique and the optimization criterion
  • Keywords
    convergence of numerical methods; filtering and prediction theory; frequency-domain analysis; iterative methods; optimisation; signal processing; Bennia-Riad optimization criterion; Van-Cittert deconvolution; built-in filtering; deconvolution estimates; iterative frequency-domain deconvolution; Adaptive filters; Convergence; Convolution; Deconvolution; Equations; Filtering; Helium; Signal to noise ratio; Time domain analysis; Wiener filter;
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/19.137355
  • Filename
    137355