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Blind seismic deconvolution of single channel using instantaneous independent component analysis

Lookup NU author(s): Aws Al-Qaisi, Dr Wai Lok Woo, Professor Satnam Dlay


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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. © 2008 IEEE.

Publication metadata

Author(s): Al-Qaisi A, Woo WL, Dlay SS

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 6th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP 2008)

Year of Conference: 2008

Pages: 142-146

Publisher: IEEE


DOI: 10.1109/CSNDSP.2008.4610748

Library holdings: Search Newcastle University Library for this item

ISBN: 9781424418756