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首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >An Automatic P-Phase Picking Algorithm Based on Adaptive Multiband Processing
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An Automatic P-Phase Picking Algorithm Based on Adaptive Multiband Processing

机译：基于自适应多频带处理的自动P相拾取算法

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摘要

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.
机译：这封信提出了一种新颖的选择算法，该算法可以自动确定P相开始时间。该算法包括自适应多频带处理和降噪技术，可以对受背景和/或非平稳噪声过程强烈影响的信号进行可靠的开始时间估计。使用一组3780个计算机生成的类似地震的信号的结果表明，其精度比传统的STA / LTA算法要好得多。此外，与自回归方法结合使用时，该方法的准确性得以提高。该算法在一组400次自然地震中的应用证实，这两种算法的组合可在实际环境中提供精确的P相开始时间估计，从而克服了与自回归方法相关的局限性。

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