4.7 Article

Automatic P Phase Picking Using Maximum Kurtosis and κ-Statistics Criteria

Journal

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
Volume 1, Issue 3, Pages 147-151

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LGRS.2004.828915

Keywords

Higher order statistics (HOS); kurtosis; kappa-statistics; P phase identification; seismic signal processing

Funding

  1. Hellenic Scholarships State Institute [1998-2002]

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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.

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