(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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Abstract

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).

Item Type:	Article
Subjects:	Electrical
Department:	College of Engineering and Physics > Electrical Engineering
Depositing User:	Obaid-Ur-Rehman Khattak
Date Deposited:	19 Mar 2008 07:43
Last Modified:	01 Nov 2019 13:24
URI:	http://eprints.kfupm.edu.sa/id/eprint/485