Khene, M.F. and Abdul-Jauwad, S.H. (2000) Adaptive seismic compression by wavelet shrinkage. Statistical Signal and Array Processing, 2000. Proceedings of the Tenth IEEE Workshop on, 1.
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)
|Divisions:||College Of Engineering Sciences > Electrical Engineering Dept|
|Creators:||Khene, M.F. and Abdul-Jauwad, S.H.|
|Deposited By:||KFUPM ePrints Admin|
|Deposited On:||24 Jun 2008 16:40|
|Last Modified:||12 Apr 2011 13:16|
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