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Lookup NU author(s): Aws Al-Qaisi, Dr Wai Lok Woo, Emeritus 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.
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
URL: http://dx.doi.org/10.1109/CSNDSP.2008.4610748
DOI: 10.1109/CSNDSP.2008.4610748
Library holdings: Search Newcastle University Library for this item
ISBN: 9781424418756
