DocumentCode
2876375
Title
A prospective way for nonlinear blind deconvolution and deblurring
Author
Le Caillec, Jean-Marc ; Garello, Rene
Author_Institution
ENST de Bretagne, Brest
fYear
1996
fDate
18-21 Jun 1996
Firstpage
369
Lastpage
372
Abstract
Blind deconvolution became an important field of interest for higher order moments application during the two last decades due to the capacity of these moments to reconstruct mixed phase systems. On the other hand, nonlinear systems detection and identification have been also studied with methods using polyspectra. We present in this paper a method to restore white or unskewed data sequences passing through a nonlinear system based on a set of mixed higher order moments equations
Keywords
deconvolution; filtering theory; higher order statistics; identification; nonlinear systems; parameter estimation; spectral analysis; data sequences; deblurring; identification; mixed higher order moments equations; mixed phase systems; nonlinear blind deconvolution; nonlinear system; nonlinear systems detection; polyspectra; Deconvolution; Filtering; Integrated circuit modeling; Linear systems; Nonlinear equations; Nonlinear filters; Nonlinear systems; Parameter estimation; Statistics; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Time-Frequency and Time-Scale Analysis, 1996., Proceedings of the IEEE-SP International Symposium on
Conference_Location
Paris
Print_ISBN
0-7803-3512-0
Type
conf
DOI
10.1109/TFSA.1996.550069
Filename
550069
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