DocumentCode
701620
Title
Higher order statistics applied to wavelet identification of marine seismic signals
Author
Boujida, Mohammed ; Boucher, Jean-Marc
Author_Institution
Télécom Bretagne, Département Signal et Communications BP 832, 29285 BREST Cedex, France
fYear
1996
fDate
10-13 Sept. 1996
Firstpage
1
Lastpage
4
Abstract
The purpose of this paper is to present the use of higher order statistics to solve the blind identification problem of reflection seismic data. We develop and compare some non-parametric and parametric methods based on higher order statistics. To compare these methods, non-minimum phase wavelet and non-gaussian reflectivity function are simulated. They are then applied to real data of high resolution marine seismic reflection.
Keywords
Cepstrum; Deconvolution; Estimation; Filtering algorithms; Higher order statistics; Reflection; Reflectivity;
fLanguage
English
Publisher
ieee
Conference_Titel
European Signal Processing Conference, 1996. EUSIPCO 1996. 8th
Conference_Location
Trieste, Italy
Print_ISBN
978-888-6179-83-6
Type
conf
Filename
7083347
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