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Lookup NU author(s): Aws Al-Qaisi, Dr Wai Lok Woo, Emeritus Professor Satnam Dlay
This paper presents a new blind statistical approach based on frequency singular value decomposition to enhance the SNR of the full multicomponent seismic wavefield as well as separating the seismic primary waves. A model of wideband polarized seismic wavefield that are received by linear array of three component sensors is used as framework for implementing the proposed algorithm. This algorithm explicitly exploits the Eigen-structure of reduced dimensional spectral covariance matrix. The blind separation of first primary wave is achieved by projecting the first eigenvector that has the highest eigenvalue of this covariance matrix on the long data vector that contains information on all frequencies and all components interactions of the multicomponent seismic wave-field. In addition, the experimental results have shown that the proposed algorithm outperforms the conventional separation technique in terms of accuracy and complexity.
Author(s): Al-Qaisi AK, Woo WL, Dlay SS
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: EUROCON
Year of Conference: 2009
Pages: 1378-1385
Date deposited: 28/05/2010
Publisher: IEEE
URL: http://dx.doi.org/10.1109/EURCON.2009.5167820
DOI: 10.1109/EURCON.2009.5167820
Library holdings: Search Newcastle University Library for this item
ISBN: 9781424438600
