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| Titel |
A nonlinear method of removing harmonic noise in geophysical data |
| VerfasserIn |
Y. Jeng, C.-S. Chen |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1023-5809
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| Digitales Dokument |
URL |
| Erschienen |
In: Nonlinear Processes in Geophysics ; 18, no. 3 ; Nr. 18, no. 3 (2011-06-21), S.367-379 |
| Datensatznummer |
250013923
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| Publikation (Nr.) |
 copernicus.org/npg-18-367-2011.pdf |
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| Zusammenfassung |
| A nonlinear, adaptive method to remove the harmonic noise that commonly
resides in geophysical data is proposed in this study. This filtering method
is based on the ensemble empirical mode decomposition algorithm in
conjunction with the logarithmic transform. We present a synthetic model
study to investigate the capability of signal reconstruction from the
decomposed data, and compare the results with those derived from other 2-D
adaptive filters. Applications to the real seismic data acquired by using an
ocean bottom seismograph and to a shot gather of the ground penetrating
radar demonstrate the robustness of this method. Our work proposes a concept
that instead of Fourier-based approaches, the harmonic noise removal in
geophysical data can be achieved effectively by using an alternative
nonlinear adaptive data analysis method, which has been applied extensively
in other scientific studies. |
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