By Topic

Deconvolution of marine seismic signal using higher order statistics and Bernoulli-Gaussian model

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Boujida, M. ; Dpt. S&C, Telecom Bretagne, Brest, France ; Boucher, J.-M. ; Marsset, B. ; Lericolais, G.
more authors

A solution to the deconvolution problem of high resolution underwater seismic reflection is proposed. The seismic source wavelet, is identified by a causal non-minimum phase ARMA model using higher order statistics (HOS) information, while the layered system, which is characterized by reflection coefficients and travel times, is assumed to be a Bernoulli-Gaussian process. The seismic trace is deconvolved by an iterative detection-estimation algorithm based on maximum likelihood approach. The whole method is applied to seismic traces coming from various underwater sources

Published in:

OCEANS '96. MTS/IEEE. Prospects for the 21st Century. Conference Proceedings  (Volume:3 )

Date of Conference:

23-26 Sep 1996