Noise reduction for broad-band, three-component seismograms using data-adaptive polarization filters
We develop a data-adaptive polarization filter that can spectacularly reduce microseismic noise contamination in three-component broad-band seismograms. The filter uses a multitaper spectral analysis method for computing the data spectral density matrix, which is defined as an ensemble average of ou...
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fthighwire:oai:open-archive.highwire.org:gji:141/3/820 2023-05-15T16:51:28+02:00 Noise reduction for broad-band, three-component seismograms using data-adaptive polarization filters Du, Zhijun Foulger, G. R. Mao, Weijian 2000-06-01 00:00:00.0 text/html http://gji.oxfordjournals.org/cgi/content/short/141/3/820 https://doi.org/10.1046/j.1365-246x.2000.00156.x en eng Oxford University Press http://gji.oxfordjournals.org/cgi/content/short/141/3/820 http://dx.doi.org/10.1046/j.1365-246x.2000.00156.x Copyright (C) 2000, Oxford University Press Articles TEXT 2000 fthighwire https://doi.org/10.1046/j.1365-246x.2000.00156.x 2013-05-27T18:05:54Z We develop a data-adaptive polarization filter that can spectacularly reduce microseismic noise contamination in three-component broad-band seismograms. The filter uses a multitaper spectral analysis method for computing the data spectral density matrix, which is defined as an ensemble average of outer products of the spectrum and its Hermitian adjoint. Under the assumption that strong noise in three-component, broad-band seismograms is additive white noise, and that its spectral density can be determined from seismogram segments without signals, that is, a pre-signal arrival time window, we construct a data-adaptive filter from a spectral density matrix that has been decontaminated of noise. Since the noise corrupting the seismograms is complicated and stochastic, the resulting residual due to the real, non-stationary nature of microseismic noise can leave small-amplitude, quasi-sinusoidal, background oscillations after filtering. These oscillations can be removed by subsequent application of an optimum Wiener filter. Application of the filter to synthetic data with real noise superimposed suppresses the noise by about three orders of magnitude at the expense of less than 5 per cent corruption of the original seismogram in amplitude. Application to several real recordings of teleseismic earthquakes on a three-component broad-band seismic station in Iceland shows that excellent signal-to-noise recovery is possible, rendering such data usable for both arrival time and waveform analysis. This technique may potentially increase by an order of magnitude the volume of usable data collected in seismic experiments in noisy environments, for example, on oceanic islands. Text Iceland HighWire Press (Stanford University) Geophysical Journal International 141 3 820 828 |
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English |
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Articles Du, Zhijun Foulger, G. R. Mao, Weijian Noise reduction for broad-band, three-component seismograms using data-adaptive polarization filters |
topic_facet |
Articles |
description |
We develop a data-adaptive polarization filter that can spectacularly reduce microseismic noise contamination in three-component broad-band seismograms. The filter uses a multitaper spectral analysis method for computing the data spectral density matrix, which is defined as an ensemble average of outer products of the spectrum and its Hermitian adjoint. Under the assumption that strong noise in three-component, broad-band seismograms is additive white noise, and that its spectral density can be determined from seismogram segments without signals, that is, a pre-signal arrival time window, we construct a data-adaptive filter from a spectral density matrix that has been decontaminated of noise. Since the noise corrupting the seismograms is complicated and stochastic, the resulting residual due to the real, non-stationary nature of microseismic noise can leave small-amplitude, quasi-sinusoidal, background oscillations after filtering. These oscillations can be removed by subsequent application of an optimum Wiener filter. Application of the filter to synthetic data with real noise superimposed suppresses the noise by about three orders of magnitude at the expense of less than 5 per cent corruption of the original seismogram in amplitude. Application to several real recordings of teleseismic earthquakes on a three-component broad-band seismic station in Iceland shows that excellent signal-to-noise recovery is possible, rendering such data usable for both arrival time and waveform analysis. This technique may potentially increase by an order of magnitude the volume of usable data collected in seismic experiments in noisy environments, for example, on oceanic islands. |
format |
Text |
author |
Du, Zhijun Foulger, G. R. Mao, Weijian |
author_facet |
Du, Zhijun Foulger, G. R. Mao, Weijian |
author_sort |
Du, Zhijun |
title |
Noise reduction for broad-band, three-component seismograms using data-adaptive polarization filters |
title_short |
Noise reduction for broad-band, three-component seismograms using data-adaptive polarization filters |
title_full |
Noise reduction for broad-band, three-component seismograms using data-adaptive polarization filters |
title_fullStr |
Noise reduction for broad-band, three-component seismograms using data-adaptive polarization filters |
title_full_unstemmed |
Noise reduction for broad-band, three-component seismograms using data-adaptive polarization filters |
title_sort |
noise reduction for broad-band, three-component seismograms using data-adaptive polarization filters |
publisher |
Oxford University Press |
publishDate |
2000 |
url |
http://gji.oxfordjournals.org/cgi/content/short/141/3/820 https://doi.org/10.1046/j.1365-246x.2000.00156.x |
genre |
Iceland |
genre_facet |
Iceland |
op_relation |
http://gji.oxfordjournals.org/cgi/content/short/141/3/820 http://dx.doi.org/10.1046/j.1365-246x.2000.00156.x |
op_rights |
Copyright (C) 2000, Oxford University Press |
op_doi |
https://doi.org/10.1046/j.1365-246x.2000.00156.x |
container_title |
Geophysical Journal International |
container_volume |
141 |
container_issue |
3 |
container_start_page |
820 |
op_container_end_page |
828 |
_version_ |
1766041592290869248 |