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首页> 外文期刊>Journal of geophysics and engineering >Frequency extrapolation to enhance the deconvolution of transmitted seismic waves
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Frequency extrapolation to enhance the deconvolution of transmitted seismic waves

机译:频率外推可增强地震波的反卷积

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We investigate the enhanced deconvolution of transmitted seismic waves from distant natural sources using autoregressive extrapolation (AR) and extended time-domain deconvolution. The amplitude spectrum of deconvolved seismograms is often restricted to a reduced frequency range from the use of a water table for the deconvolution. The attenuation effects on the teleseismic seismic waves also reduce the frequency content of the data. We compare the deconvolved spectra obtained from an AR-extended deconvolution (EARD) and an extended time-domain deconvolution (ETDD) technique for teleseismic waves. For EARD, we analyse the spectral content for the deconvolved spectra to differentiate between the domains of known and unknown spectral values. A prediction error filter is used to perform the autoregressive extrapolation to estimate the unknown spectral values. This procedure is applied on 1D and 2D synthetic data to test the approach. The EARD approach is then compared with the ETDD approach which applies an extended high-pass filter to the time-domain deconvolution approach. Both the EARD and ETDD approaches for extending the effective frequency range of the deconvolution results are then compared using observed teleseismic data recorded in southern India.
机译:我们研究了使用自回归外推(AR)和扩展时域反褶积技术从遥远自然源传输来的地震波的增强反褶积技术。反卷积地震图的振幅谱通常被限制在使用水位进行反卷积的减小的频率范围内。对远震地震波的衰减作用也降低了数据的频率含量。我们比较了从AR扩展解卷积(EARD)和扩展时域解卷积(ETDD)技术获得的地震波解卷积谱。对于EARD,我们分析去卷积光谱的光谱含量,以区分已知光谱值和未知光谱值的域。预测误差滤波器用于执行自回归外推以估计未知光谱值。此过程适用于1D和2D综合数据以测试该方法。然后将EARD方法与ETDD方法进行比较,后者将扩展的高通滤波器应用于时域反卷积方法。然后,使用在印度南部记录的观测到的地震数据,对扩展反褶积结果有效频率范围的EARD和ETDD方法进行了比较。

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