DocumentCode
1082603
Title
Bayesian parametric separation applied to multicomponent seismic data
Author
Essebbar, Abderrahman
Author_Institution
CEPHAG-CNRS, Saint-Martin d´´Heres, France
Volume
3
Issue
7
fYear
1996
fDate
7/1/1996 12:00:00 AM
Firstpage
218
Lastpage
220
Abstract
The article addresses the parametric estimation of multicomponent seismic waves. The approach of parametric separation based on the maximum likelihood estimator (MLE) is introduced, and the a priori information is obtained by the down-going waves in vertical seismic profile (VSP) data. First, we recall the MLE method. Then the Bayesian approach is introduced, and finally, we show on synthetic seismic data that the estimation of velocities of up-going waves is improved.
Keywords
Bayes methods; geophysical signal processing; maximum likelihood estimation; seismic waves; seismology; Bayesian parametric separation; MLE; down-going waves; maximum likelihood estimator; multicomponent seismic data; parametric estimation; up-going waves; velocity estimation; vertical seismic profile data; Additive noise; Bayesian methods; Delay estimation; Frequency estimation; Linear antenna arrays; Maximum likelihood estimation; Propagation delay; Radar signal processing; Seismic waves; Sensor arrays;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/97.508170
Filename
508170
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