A nonlinear method of removing harmonic noise in geophysical data

Y. Jeng, C. S. Chen

    Research output: Contribution to journalArticlepeer-review

    6 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Pages (from-to)367-379
    Number of pages13
    JournalNonlinear Processes in Geophysics
    Volume18
    Issue number3
    DOIs
    Publication statusPublished - 2011

    ASJC Scopus subject areas

    • Statistical and Nonlinear Physics
    • Geophysics
    • Geochemistry and Petrology

    Fingerprint Dive into the research topics of 'A nonlinear method of removing harmonic noise in geophysical data'. Together they form a unique fingerprint.

    Cite this