A nonlinear method of removing harmonic noise in geophysical data

Y. Jeng*, C. S. Chen


研究成果: 雜誌貢獻期刊論文同行評審

6 引文 斯高帕斯(Scopus)


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.

頁(從 - 到)367-379
期刊Nonlinear Processes in Geophysics
出版狀態已發佈 - 2011

ASJC Scopus subject areas

  • 統計與非線性物理學
  • 地球物理
  • 地球化學與岩石學


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