• DocumentCode
    2975618
  • Title

    The Study and Application of the Empirical Mode Decomposition in Geochemical Data Processing

  • Author

    Pei, Yao ; Wu, Yangang ; Yan, Ping

  • Author_Institution
    Coll. of Geoexploration Sci. & Technol., Jilin Univ., Changchun, China
  • fYear
    2010
  • fDate
    29-31 Oct. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper attempts to use empirical mode decomposition, based on Hilbert-Huang transform, in geochemical data processing, and proposes a new method of scale space filtering. The paper 1:10,000 soil data in Ciweigou-Canglin, Yanbian region, Jilin Province is used here for research. Numerical and real data tests demonstrate that empirical mode decomposition with the Fourier transform denoising can eliminate noise and delineate the geochemical anomalies.
  • Keywords
    Fourier transforms; Hilbert transforms; geochemistry; geophysics computing; signal denoising; Fourier transform denoising; Hilbert-Huang transform; Jilin Province; empirical mode decomposition; geochemical data processing; scale space filtering; Data processing; Filtering; Gold; Mineralization; Noise; Noise reduction; Transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Technology (ICMT), 2010 International Conference on
  • Conference_Location
    Ningbo
  • Print_ISBN
    978-1-4244-7871-2
  • Type

    conf

  • DOI
    10.1109/ICMULT.2010.5629644
  • Filename
    5629644