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An Automatic P-Phase Picking Algorithm Based on Adaptive Multiband Processing
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DOI：10.1109/LGRS.2013.2260720.png)
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Abstract
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This letter presents a novel picking algorithm which allows an automated determination of the P-phase onset time. The algorithm includes an adaptive multiband processing and noise-reduction techniques to allow a confident onset time estimation in signals strongly affected by background and/or nonstationary noise processes. Results using a set of 3780 computer-generated earthquake-like signals show that the accuracy is much better than that achieved by conventional STA/LTA algorithm. In addition, the accuracy of the proposed method is improved when it is combined with an autoregressive method. An application of the algorithm to a set of 400 natural earthquakes confirms that the combination of both algorithms provides a precise P-phase onset time estimation in real environments, overcoming the limitations associated with the autoregressive method.
Keywords:
Adaptive analysis
autoregressive method
enhancement filter
noise reduction
picking
P-phase arrival
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