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
Link To Document :
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