Seismic P Phase Picking Using a Kurtosis-Based Criterion in the Stationary Wavelet Domain

The seismicPphase first arrival identification is a fundamental problem in seismology. The accurate identification of theP-wave first arrival is not a trivial process, particularly when the seismograms present a very low signal-to-noise ratio (SNR) or are contaminated with artificial transients that could produce false alarms. In this paper, a new approach based on higher order statistics and the stationary wavelet transform is presented. ThePonset is obtained under a statistical criterion applied in the time-frequency domain. The results have been compared to those estimated by anotherPphase picking algorithm andPonsets picked by expert analysts. The comparison shows that our proposed method efficiently provides a good estimate of thePonset picks that are consistent with analyst picks, particularly in cases of very low SNR.