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
Link To Document :
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