• Publications
  • Influence
PAI-S/K: A robust automatic seismic P phase arrival identification scheme
The automatic and accurate P phase arrival identification is a fundamental problem for seismologists worldwide. Several approaches have been reported in the literature, but most of them onlyExpand
  • 160
  • 11
Automatic P phase picking using maximum kurtosis and κ-statistics criteria
The identification problem of P seismic phase onset has been addressed, based on the maximum-kurtosis assumption, /spl kappa/-statistics, and the Chebyshev inequality. Depending on two statisticalExpand
  • 32
  • 1
ICASP: An Intensive-Care Acquisition and Signal Processing Integrated Framework
This paper presents an intensive-care acquisition and signal processing integrated framework in the area of intensive care units. The framework includes nearly all monitored biosignals in theExpand
  • 6
A higher-order statistics-based phase identification of three-component seismograms in a redundant wavelet transform domain
An efficient identification of P and S phases of three component seismograms (3-CS) using higher-order statistics (HOS) in a redundant wavelet transform domain (R-WT) is presented in this work. TheExpand
  • 17
Automatic S-phase arrival determination of seismic signals using nonlinear filtering and higher-order statistics
Automatic seismic P- and S-phases arrival identification has been a challenging scientific goal for the last two decades for seismologists, as it provides them with important seismologicalExpand
  • 2
An application of sparse inversion on the calculation of the inverse data space of geophysical data
Multiple reflections as observed in seismic reflection measurements often hide arrivals from the deeper target reflectors and need to be removed. The inverse data space provides a natural separationExpand