1999
DOI: 10.1785/bssa0890051395
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Iterative deconvolution and receiver-function estimation

Abstract: We describe and apply an iterative, time-domain deconvolution approach to receiver-function estimation and illustrate the reliability and advantages of the technique using synthetic- and observation-based examples. The iterative technique is commonly used in earthquake time-function studies and offers several advantages in receiver-function analysis such as intuitively stripping the largest receiver-function arrivals from the observed seismograms first and then the details; long-period stability by a priori co… Show more

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Cited by 1,115 publications
(253 citation statements)
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References 14 publications
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“…We present a lithospheric shear-wave velocity model in applied a time-domain iterative deconvolution technique (Ligorría & Ammon, 1999) to extract RFs with a Gaussian filter parameter of 2.5. We discarded the RFs with waveform fits of less than 85% and moveout corrected all RFs to a slowness of 0.064 s/km using the global 1-D velocity model IASP91 (Kennett & Engdahl, 1991).…”
Section: Significance Statementmentioning
confidence: 99%
“…We present a lithospheric shear-wave velocity model in applied a time-domain iterative deconvolution technique (Ligorría & Ammon, 1999) to extract RFs with a Gaussian filter parameter of 2.5. We discarded the RFs with waveform fits of less than 85% and moveout corrected all RFs to a slowness of 0.064 s/km using the global 1-D velocity model IASP91 (Kennett & Engdahl, 1991).…”
Section: Significance Statementmentioning
confidence: 99%
“…From all events, we retain a mean of 6% of radial and 3% of the transverse component receiver functions with high signal‐to‐noise ratios and stable deconvolutions. We use the time domain algorithm by Ligorria and Ammon (1999) and a Gaussian filter factor of 3. Details of the processing and quality control methods are as in Schulte‐Pelkum and Mahan (2014a).…”
Section: Receiver Function Arrivals From Anisotropic and Dipping Cont...mentioning
confidence: 99%
“…We download seismograms of those earthquakes recorded by 244 broadband seismic stations in southern California from SCEDC. Then, RFs are extracted by deconvolving the vertical component from the radial and transverse components with a Gaussian filter parameter of 1.5 (equivalently with central frequency around 0.75 Hz) via a time‐domain iterative technique (Ligorria & Ammon, 1999). Moreover, we have collected RFs at 61 broadband stations from the EARS.…”
Section: Seismic Datamentioning
confidence: 99%