Abstract We describe and apply an iterative, time-domain deconvolution ap-proach to receiver-function estimation and illustrate the reliability and advantages of the technique using synthetic- and observation-based xamples. The iterative tech-nique is commonly used in earthquake time-function studies and offers several ad-vantages in receiver-function analysis such as intuitively stripping the largest re-ceiver-function arrivals from the observed seismograms first and then the details; long-period stability by a pr ior i constructing the deconvolution as a sum of Gaussian pulses; and easy generalization to allow multiwaveform deconvolution for a single receiver-function estimate.
We investigate the applicability of an array-conditioned deconvolution technique, developed for anal...
A method has been developed by which a deconvolution filter is designed and applied to a "seismogram...
Abstract: This paper demonstrates the effectiveness and versatility of an iterative deconvolution al...
In this study, the problem of estimating the receiver function variance is discussed. The receiver f...
A method is presented for the deconvolution of a suite of teleseismic recordings of the same event. ...
Abstract We describe two methods, suitable for routine application to tele-seismic recordings, that ...
Introduction To remove effects of unwanted signatures such as a long seismic wavelet or multiples by...
Deconvolution had a relatively early application in seismology, when in 1950 Enders Robinson, a grad...
The paper is concerned with an application of a recently proposed algorithm for minimal realization ...
The results of application of three different methods to the "adaptive deconvolution" of seismic dat...
Nonstationary deconvolution has emerged as a tool for extracting the most realistic earth reflectivi...
The DAMAS2 algorithm is compared with several other Fourier-based deconvolution approaches. One is...
(NEIC) uses a variety of classical network-averaged magnitudes (e.g.,mb andMs) and waveform modeling...
In the stochastic deconvolution process, the assumption of a random reflectivity function can be rep...
Small earthquake records are increasingly being used as empirical Green's functions to estimate the ...
We investigate the applicability of an array-conditioned deconvolution technique, developed for anal...
A method has been developed by which a deconvolution filter is designed and applied to a "seismogram...
Abstract: This paper demonstrates the effectiveness and versatility of an iterative deconvolution al...
In this study, the problem of estimating the receiver function variance is discussed. The receiver f...
A method is presented for the deconvolution of a suite of teleseismic recordings of the same event. ...
Abstract We describe two methods, suitable for routine application to tele-seismic recordings, that ...
Introduction To remove effects of unwanted signatures such as a long seismic wavelet or multiples by...
Deconvolution had a relatively early application in seismology, when in 1950 Enders Robinson, a grad...
The paper is concerned with an application of a recently proposed algorithm for minimal realization ...
The results of application of three different methods to the "adaptive deconvolution" of seismic dat...
Nonstationary deconvolution has emerged as a tool for extracting the most realistic earth reflectivi...
The DAMAS2 algorithm is compared with several other Fourier-based deconvolution approaches. One is...
(NEIC) uses a variety of classical network-averaged magnitudes (e.g.,mb andMs) and waveform modeling...
In the stochastic deconvolution process, the assumption of a random reflectivity function can be rep...
Small earthquake records are increasingly being used as empirical Green's functions to estimate the ...
We investigate the applicability of an array-conditioned deconvolution technique, developed for anal...
A method has been developed by which a deconvolution filter is designed and applied to a "seismogram...
Abstract: This paper demonstrates the effectiveness and versatility of an iterative deconvolution al...