• DocumentCode
    2997218
  • Title

    High-order spectral analysis for micro-seismic signal

  • Author

    Zhu, Jinan ; Hou, Yao ; Nie, Weirong

  • Author_Institution
    Sch. of Mech. Eng., Nanjing Univ. of Sci. & Technol., China
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    375
  • Lastpage
    378
  • Abstract
    In this correspondence, on the basis of introduction of bispectrum analytic method, it is theoretically proved that this method can effectively eliminate white/colored Gaussian noise. To validate this, the micro-seismic signal resulting from wheeled and tracked vehicles is analyzed using bispectrum. The result of comparison with power spectrum analysis shows that bispectrum analysis is superior to power spectrum analysis in feature extraction, which agrees very well with the analytic result
  • Keywords
    Gaussian noise; geophysical signal processing; seismic waves; spectral analysis; bispectrum analytic method; feature extraction; high-order spectral analysis; micro-seismic signal; power spectrum analysis; white/colored Gaussian noise; Background noise; Frequency; Gaussian noise; Machinery; Pumps; Signal processing; Spectral analysis; Target recognition; Transportation; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2000. IEEE APCCAS 2000. The 2000 IEEE Asia-Pacific Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    0-7803-6253-5
  • Type

    conf

  • DOI
    10.1109/APCCAS.2000.913513
  • Filename
    913513