Blind seismic deconvolution of single channel using instantaneous independent component analysis

Aws Al-Qaisi*, W. L. Woo, S. S. Dlay

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

This paper provides a new statistical approach to solve blind seismic deconvolution problem for a single channel using independent component analysis (ICA). Our technique consists of three steps. Firstly, a transformation method that maps the seismic trace convolution model for a single channel into multiple input multiple output (MIMO) instantaneous ICA model using zero padding matrices. Secondly, whitening the observed seismic trace by incorporating the zero padding matrixes is conducted as a pre-processing step to exploit the sparsity of the mixing matrix. Finally, a novel logistic function that matches the sparsity of reflectivity sequence distribution has been proposed and fitted into the information maximization algorithm to obtain the demixing matrix. Simulated experiments indicate our new algorithm outperforms the conventional independent component analysis (ICA) algorithm. The mean square error (MSE) is used to measure the efficiency of the proposed algorithm.

Original languageEnglish
Title of host publicationProceedings of the 6th International Symposium Communication Systems, Networks and Digital Signal Processing, CSNDSP 08
PublisherIEEE
Pages142-146
Number of pages5
ISBN (Electronic)9781424418763
ISBN (Print)9781424418756
DOIs
Publication statusPublished - 29 Aug 2008
Event6th International Symposium Communication Systems, Networks and Digital Signal Processing, CSNDSP 08 - Graz, Austria
Duration: 23 Jul 200825 Jul 2008

Conference

Conference6th International Symposium Communication Systems, Networks and Digital Signal Processing, CSNDSP 08
CountryAustria
CityGraz
Period23/07/0825/07/08

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