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