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
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