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
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