2007
DOI: 10.1007/s00024-007-0269-5
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Receiver Functions from Autoregressive Deconvolution

Abstract: Receiver functions can be estimated by minimizing the square errors of Wiener filter in timedomain or spectrum division in frequency domain. To avoid the direct calculation of auto-correlation and crosscorrelation coefficients in Toeplitz equation or of auto-spectrum and cross-spectrum in spectrum division equation as well as empirically choosing a damping parameter, autoregressive deconvolution is presented to isolate receiver function from three-component teleseismic P waveforms. The vertical component of te… Show more

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Cited by 19 publications
(7 citation statements)
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“…We analyzed data from over 1800 events with body wave magnitude ≥5.5 and epicentral distance between 28° and 92°. A time window of 20 s before and 100 s after the P wave arrival was selected and RFs which isolate P ‐to‐ S conversions from seismic discontinuities were constructed using the maximum entropy (autoregressive) deconvolution method [ Tselentis , 1990; Q. Wu et al , 2007]. A 2.5 Hz Gaussian parameter was adopted in the deconvolution and the resultant RFs were further bandpass filtered with corner frequencies of either 0.03 and 1.0 Hz for wave equation migration (Figure 3) or 0.03 and 0.3 Hz for comparison of time domain stacks (Figure 2) and moveout corrected to the case of horizontal slowness p = 0 (as required for migration) [ Chen et al , 2005].…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…We analyzed data from over 1800 events with body wave magnitude ≥5.5 and epicentral distance between 28° and 92°. A time window of 20 s before and 100 s after the P wave arrival was selected and RFs which isolate P ‐to‐ S conversions from seismic discontinuities were constructed using the maximum entropy (autoregressive) deconvolution method [ Tselentis , 1990; Q. Wu et al , 2007]. A 2.5 Hz Gaussian parameter was adopted in the deconvolution and the resultant RFs were further bandpass filtered with corner frequencies of either 0.03 and 1.0 Hz for wave equation migration (Figure 3) or 0.03 and 0.3 Hz for comparison of time domain stacks (Figure 2) and moveout corrected to the case of horizontal slowness p = 0 (as required for migration) [ Chen et al , 2005].…”
Section: Methodsmentioning
confidence: 99%
“…We analyzed data from over 1800 events with body wave magnitude !5.5 and epicentral distance between 28°a nd 92°. A time window of 20 s before and 100 s after the P wave arrival was selected and RFs which isolate P-to-S conversions from seismic discontinuities were constructed using the maximum entropy (autoregressive) deconvolution method [Tselentis, 1990;Q. Wu et al, 2007].…”
Section: Methodsmentioning
confidence: 99%
“…P wave receiver functions were calculated from teleseismic data by using the maximum‐entropy, time‐domain deconvolution method (Wu et al, ). A Gaussian filter value, α , of 2.5 was used to remove high frequency noise from the seismic data.…”
Section: Regional Geologic Setting and Previous Geophysical Studiesmentioning
confidence: 99%
“…P wave receiver functions are generally calculated from broadband teleseismic data by using a routine method of, e.g., Langston [1979] and Owens et al [1984]. In this study, we used a maximum‐entropy, time domain deconvolution method developed by Wu et al [2007]. In order to remove high‐frequency noise, a Gaussian filter value, α , of 2.0 was used.…”
Section: Calculation Of Receiver Functionsmentioning
confidence: 99%