Automatic P phase picking using maximum kurtosis and κc-statistics criteria

Christos D. Saragiotis; Leontios J. Hadjileontiadis; Ioannis T. Rekanos; Stavros M. Panas

doi:10.1109/LGRS.2004.828915

Automatic P phase picking using maximum kurtosis and κc-statistics criteria

Christos D. Saragiotis, Leontios J. Hadjileontiadis, Ioannis T. Rekanos, Stavros M. Panas

Biomedical Engineering & Biotechnology

Research output: Contribution to journal › Article › peer-review

63 Scopus citations

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.

Original language	British English
Pages (from-to)	147-151
Number of pages	5
Journal	IEEE Geoscience and Remote Sensing Letters
Volume	1
Issue number	3
DOIs	https://doi.org/10.1109/LGRS.2004.828915
State	Published - Jul 2004

Keywords

κ-statistics
Higher order statistics (HOS)
Kurtosis
P phase identification
Seismic signal processing

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10.1109/LGRS.2004.828915

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title = "Automatic P phase picking using maximum kurtosis and κc-statistics criteria",

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 = "κ-statistics, Higher order statistics (HOS), Kurtosis, P phase identification, Seismic signal processing",

author = "Saragiotis, {Christos D.} and Hadjileontiadis, {Leontios J.} and Rekanos, {Ioannis T.} and Panas, {Stavros M.}",

note = "Funding Information: Manuscript received January 13, 2004; revised March 18, 2004. The work of C. D. Saragiotis was supported by the Hellenic Scholarships State Institute (I.K.Y.) under Grant 1998-2002.",

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AU - Rekanos, Ioannis T.

AU - Panas, Stavros M.

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AB - 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.

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Automatic P phase picking using maximum kurtosis and κc-statistics criteria

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Keywords

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