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
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