DocumentCode :
1035127
Title :
Automatic P phase picking using maximum kurtosis and κ-statistics criteria
Author :
Saragiotis, Christos D. ; Hadjileontiadis, Leontios J. ; Rekanos, Ioannis T. ; Panas, Stavros M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Aristotle Univ. of Thessaloniki, Greece
Volume :
1
Issue :
3
fYear :
2004
fDate :
7/1/2004 12:00:00 AM
Firstpage :
147
Lastpage :
151
Abstract :
The identification problem of P seismic phase onset has been addressed, based on the maximum-kurtosis assumption, κ-statistics, and the Chebyshev inequality. Depending on two statistical decision criteria, the proposed approach provides either a single P onset peak or an interval in which the P onset exists, both with a confidence percentage. Results on real seismic data evaluated using a performance index justify the contribution of the proposed method toward an accurate and fully automated P onset identification.
Keywords :
Chebyshev approximation; geophysical signal processing; higher order statistics; seismology; Chebyshev inequality; P seismic phase onset; automatic P phase picking; fully automated P onset identification; identification problem; k-statistics criteria; kurtosis assumption; kurtosis criteria; statistical decision criteria; Chebyshev approximation; Detectors; Frequency estimation; Performance analysis; Phase detection; Phase noise; Seismology; Signal analysis; Signal processing; Working environment noise; $kappa$-statistics; HOS; Higher order statistics; P phase identification; kurtosis; seismic signal processing;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
Publisher :
ieee
ISSN :
1545-598X
Type :
jour
DOI :
10.1109/LGRS.2004.828915
Filename :
1315620
Link To Document :
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