Khene, M. F. and Abdul-Jauwad, S. H. (2000) Adaptive Wavelet-Based Seismic Compression. 2000 Proceedings of the Tenth IEEE Workshop on Statistical Signal and Array Processing. pp. 544-548.
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In this paper, a sophisticated adaptive seismic compression method is presented based on wavelet shrinkage. Our approach combines a time-scale transform with an adaptive non-linear statistical method. First, a discrete 2-D biorthogonal Discrete Wavelet Transform (DWT) is applied to the multi-channel seismic signals to generate a sparse multiresolution (subband)decomposition. Compression is then achieved by shrinking the detail wavelet coefficients using a scale-dependent non-linear soft-thresholding rule. The adaptive scale-dependent thresholds are determined by minimizing the Stein’s Unbiased Risk Estimate (SURE). The proposed compression procedure is tested on marine seismic data from the Midyan basin (Red Sea, Saudi Arabia).
|Date:||14 August 2000|
|Divisions:||College Of Engineering Sciences > Electrical Engineering Dept|
|Creators:||Khene, M. F. and Abdul-Jauwad, S. H.|
|Deposited By:||Obaid-Ur-Rehman Khattak|
|Deposited On:||19 Mar 2008 10:43|
|Last Modified:||12 Apr 2011 13:06|
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