Low-frequency noise suppressing of desert seismic data by improved nonlinear autoregressive with external input neural network
Low-frequency signal and noise are the main components of seismic data in Northwest China desert area. To remove noise and preserve data details, we introduce a method of nonlinear autoregressive with external input neural network (NARX) which is based on recent developments in nonlinear time series...
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| Published in: | Exploration geophysics (Melbourne) Vol. 53; no. 1; pp. 66 - 76 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Taylor & Francis
02.01.2022
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| Subjects: | |
| ISSN: | 0812-3985, 1834-7533 |
| Online Access: | Get full text |
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