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Receiver Function Estimated by Wiener Filtering 被引量:4

Receiver Function Estimated by Wiener Filtering
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摘要 Wiener filtering is used to estimate receiver function in a time_domain. With the vertical component of 3_component teleseismic P waveform as the input of a Wiener filter, receiver function as the filter response, and radial and tangential components as the expected output, receiver function is estimated by minimizing the error between expected and actual outputs. Receiver function can be obtained by solving the Toeplitz equation using the Levinson algorithm. The non_singularity of the Toeplitz equation ensures the stability of Wiener Deconvolution. Both synthetic and observational seismogram checks show that Wiener Deconvolution is an effective time_domain method to estimate receiver function from teleseismic P waveform. Wiener filtering is used to estimate receiver function in a time_domain. With the vertical component of 3_component teleseismic P waveform as the input of a Wiener filter, receiver function as the filter response, and radial and tangential components as the expected output, receiver function is estimated by minimizing the error between expected and actual outputs. Receiver function can be obtained by solving the Toeplitz equation using the Levinson algorithm. The non_singularity of the Toeplitz equation ensures the stability of Wiener Deconvolution. Both synthetic and observational seismogram checks show that Wiener Deconvolution is an effective time_domain method to estimate receiver function from teleseismic P waveform.
出处 《Earthquake Research in China》 2003年第4期386-391,共6页 中国地震研究(英文版)
基金 ThisprojectwassponsoredbytheNationalScienceFoundationofChina(ContractNo .:4 9974 0 2 1) .ContributionNo .:0 2AC10 36 ,InstituteofGeophysicsofCSB
关键词 接受机 函数 估计 最佳化 运算法则 地震波 Receiver function Wiener filter Toeplitz equation Levinson algorithm
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