Wavelet transform methods for phase identification in three-component seismograms
Wavelet transform methods for phase identification in three-component seismograms
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DOI：
10.1785/bssa0870061598
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发表时间：
1997-12
影响因子：
3
通讯作者：
K. Anant;F. Dowla
中科院分区：
文献类型：
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作者：
K. Anant;F. Dowla
为了自动识别地震同相轴的P波和S波到，我们将小波变换应用于地震信号。在这篇文章中，提出了一种算法，定位这些到达单站三分量短周期地震记录中使用的偏振和振幅信息包含在小波变换系数的信号。其主要思想是地震信号的强特征出现在几个尺度上的小波系数中。该算法的第一步是对三分量短周期地震记录的各分量进行小波分解。由此产生的多标量表示被用来构建“定位器”功能，识别的P和S到达。P定位函数是利用跨尺度的极化信息构造的，S定位函数是利用跨尺度的横向径向振幅信息构造的。这些功能被证明是非常有效的识别重要的P和S到达的测试数据。将结果与分析师选择的到达时间进行比较。
We apply the wavelet transform to seismic signals for the purpose of automatically identifying the P and S phase arrivals of seismic events. In this article, an algorithm is presented that locates these arrivals in single-station three-component short-period seismograms using polarization and amplitude information contained in the wavelet transform coefficients of the signals. The main idea is that strong features of the seismic signal appear in the wavelet coefficients across several scales. The first step in the algorithm is the wavelet decomposition of each component of a three-component short-period seismogram. The resulting multi-scalar representation is used to construct “locator” functions that identify the P and S arrivals. The P locator function is constructed by using polarization information across scales, and the S locator function is constructed using transverse over radial amplitude information across scales. These functions prove to be very effective at identifying the important P and S arrivals in the test data. The results are compared with arrival times picked by an analyst.