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- W2063557524 abstract "We propose a new signal sub-space decomposition (SSD) technique to improve the resolution of 3D seismic data processing. By exploiting the SSD technique, not only we can decompose the signal and noise in 3-D seismic data, but also the composite event into single events according to their different dips. After removal of the noise space, we integrate all the reconstructions corresponding to the signal sub-spaces with improved resolution using the spectral whitening technique. Since we only improve the resolution of the signal and remove the noise at the same time, we can improve the resolution and signal-to-noise ratio (SNR) of the seismic data simultaneously. The application results on the synthetic and real data show that our method has a good perspective of applications." @default.
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- W2063557524 date "2005-07-01" @default.
- W2063557524 modified "2023-10-12" @default.
- W2063557524 title "A High-Resolution Processing Technique for 3-D Seismic Data Based on Signal Sub-Space Decomposition" @default.
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- W2063557524 doi "https://doi.org/10.1002/cjg2.737" @default.
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