• DocumentCode
    1590588
  • 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
  • fYear
    1991
  • Firstpage
    319
  • Lastpage
    323
  • Abstract
    The application of the Van-Cittert technique in iterative frequency-domain deconvolution is demonstrated. The technique is shown to have a built-in filtering capability which can successfully be used to produce optimum deconvolution estimates. The Bennia-Riad optimization criterion for iterative deconvolution is 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; iterative methods; optimisation; signal processing; Bennia-Riad optimization criterion; Van-Cittert deconvolution; convergence; filtering; iterations; iterative frequency-domain deconvolution; optimum deconvolution estimates; successive approximation; Adaptive filters; Convergence; Convolution; Deconvolution; Equations; Filtering; Fluctuations; Frequency domain analysis; Noise reduction; Wiener filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference, 1991. IMTC-91. Conference Record., 8th IEEE
  • Conference_Location
    Atlanta, GA
  • Print_ISBN
    0-87942-579-2
  • Type

    conf

  • DOI
    10.1109/IMTC.1991.161604
  • Filename
    161604