Automatic P Phase Picking Using Maximum Kurtosis and $kappa$ -Statistics Criteria

The identification problem of P seismic phase onset has been addressed, based on the maximum-kurtosis assumption, Kappa -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...

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Veröffentlicht in:	IEEE geoscience and remote sensing letters 2004-07, Vol.1 (3), p.147-151
Hauptverfasser:	Saragiotis, C D, Hadjileontiadis, L J, Rekanos, I T, Panas, S M
Format:	Artikel
Sprache:	eng
Schlagworte:	Confidence Confidence intervals Criteria Inequalities Kurtosis Picking Seismic engineering Seismic phenomena
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creator	Saragiotis, C D Hadjileontiadis, L J Rekanos, I T Panas, S M
description	The identification problem of P seismic phase onset has been addressed, based on the maximum-kurtosis assumption, Kappa -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.
doi_str_mv	10.1109/LGRS.2004.828915
format	Article
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subjects	Confidence Confidence intervals Criteria Inequalities Kurtosis Picking Seismic engineering Seismic phenomena
title	Automatic P Phase Picking Using Maximum Kurtosis and $kappa$ -Statistics Criteria
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