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| Keywords | |
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spectral decomposition |
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SPGL1 |
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sparse inversion algorithm |
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BPDN |
| Authors | |
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ZHOU Yan |
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HAN Li-Guo |
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YU Jiang-Long |
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SUN Hui-Qiu |
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ZHANG Pan |
| PubMed | |
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Article by Zhou, Y. |
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Article by Han, L. G. |
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Article by Yu, J. L. |
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Article by Sun, H. Q. |
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Article by Zhang, P. |
ZHOU Yan, HAN Li-Guo, YU Jiang-Long, SUN Hui-Qiu, ZHANG Pan
1. College of Geo- Exploration Science and Technology��Jilin University��Changchun 130026��China; 2. Key Laboratory of Applied Geophysics��Ministry of Land and ��esources��Changchun 130026��China
Spectral decomposition was described as a linear inversion problem�� As this problem is underdeter- mined��it needs sparse inversion algorithm to solve the problem of Basic Pursuit De- noising (BPDN)�� The authors use Spectral Projected Gradient��L1 (SPGL1) to increase the resolution of Inversion Spectral Decomposition (ISD)��and further study its potential advantages�� The results show that ISD based on BPDN (ISD- -BPDN) has higher resolution in time- frequency representation��which can accurately distinguish the formation��and can detect precisely the presence of hydrocarbons��