Simultaneous time-domain deconvolution with application to the computation of receiver functions
Simultaneous time-domain deconvolution with application to the computation of receiver functions
复制标题
同步时域反卷积及其在接收器函数计算中的应用
DOI：
10.1111/j.1365-246x.1995.tb01837.x
复制
发表时间：
1995
影响因子：
2.8
通讯作者：
J. Minster
中科院分区：
文献类型：
--
作者：
H. Gurrola;G. Baker;J. Minster
接收器函数是通过将地震图的水平分量与垂直分量反卷积而产生的。通常，这是通过对单个事件的记录进行光谱划分来执行的。然后叠加具有相似后方位角和射线参数的同相轴的接收函数，以提高信噪比。为了避免主观和耗时的预白化方法通常采用频谱分割，我们投在时域的反卷积。通过对一组通常在反褶积后叠加的事件进行时域反褶积作为正则化的同时反演，我们发现旁瓣减少，分辨率提高。此外，正则化反演允许用户在各种客观模型范数中进行选择。在本文中，我们提出的结果反演采用L2范数和下界最小二乘。
SUMMARY Receiver functions are produced by deconvolving the horizontal components of a seismogram by the vertical component. Typically this is performed by spectral division of recordings of single events. Receiver functions from events with similar backazimuth and ray parameter are then stacked to improve the signal-to-noise ratio. To avoid the subjective and time-consuming method of prewhitening typically employed with spectral division, we have cast the deconvolution in the time domain. By performing the time-domain deconvolution as a regularized simultaneous inversion for a group of events that would normally have been stacked after deconvolution, we find that side lobes are reduced and resolution is improved. Furthermore, the regularized inversion allows the user to choose among a variety of objective model norms. In this paper, we present results from inversions employing the L2 norm and lower-bounded least squares.