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Clear P-wave arrival of weak events and automatic onset determination using wavelet filter banks

机译:清除弱事件的P波到达并使用小波滤波器组自动确定开始

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摘要

P-wave arrivals of many weak events cannot be precisely determined manually. Difference in power levels between noise and P-wave in wavelet detail of weak events enables us to determine P-wave arrival manually. Because of this power difference, automatic onset detection and picking algorithm is introduced using the same wavelet detail. Parameter settings are not needed as algorithm will work on data generated by either short or very broad band seismometers. Application of the proposed algorithm on data of three stations of Egyptian National Seismic Network (ENSN) in Cairo region shows a maximum standard deviation of 0.14 seconds of the corresponding manual picks.
机译:许多微弱事件的P波到达无法手动精确确定。弱事件的小波细节中的噪声和P波之间的功率水平差异使我们能够手动确定P波到达。由于功率差异,使用相同的小波细节引入了自动开始检测和挑选算法。不需要参数设置,因为算法可以处理由短或超宽带地震仪产生的数据。所提算法在开罗地区埃及国家地震台网(ENSN)三个站点的数据中的应用表明,相应人工镐的最大标准偏差为0.14秒。

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