Regularized Deconvolution of Local Short-Period Seismograms in the Wavelet Packet Domain.

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Title: Regularized Deconvolution of Local Short-Period Seismograms in the Wavelet Packet Domain.
Authors: Galiana-Merino, J. J.1, Rosa-Herranz, J.1, Giner, J.2, Molina, S.2, Botella, F.3
Source: Bulletin of the Seismological Society of America. Aug2004, Vol. 94 Issue 4, p1467-1475. 9p. 1 Diagram, 1 Chart, 7 Graphs.
Subjects: Wave packets, Seismograms, Seismological stations, Natural disasters, Seismology
Abstract: Short-period seismographs of the vertical component have a frequency response similar to a bandpass filter with a low cutoff frequency around 1 Hz. This instrument's response distorts in some way the interesting signal that arrives at the sensor. In this case, the aim of the deconvolution is at recover the signal as it arrives at the sensor, since this signal can be very important to the study of source mechanisms, for instance. In this article we present a new method of regularized inversion based on the wavelet packet transform. This method achieves the deconvolution of the instrument response through the time-frequency information contained in the wavelet packet transform of the signals. Although the instrument response is known (Jáuregui, 1997), the noise and other artifacts in the signal make deconvolution a nontrivial process. As an evaluation method, we first apply it to synthetic signals we generated. In this way, the shape of the whole output signal and the onset time of the first pulse can be compared to the ideal signal. The method is also applied to real signals, specifically to local short-period seismograms registered at the seismic network of the University of Alicante in southeastern Spain. In both cases, the results are compared with the water-level correction method currently used. The comparison shows how the proposed method works better, as it provides, in contrast to the current method, the shape and the onset time of the ideal signal. [ABSTRACT FROM AUTHOR]
Copyright of Bulletin of the Seismological Society of America is the property of Seismological Society of America and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: <searchLink fieldCode="JN" term="%22Bulletin+of+the+Seismological+Society+of+America%22">Bulletin of the Seismological Society of America</searchLink>. Aug2004, Vol. 94 Issue 4, p1467-1475. 9p. 1 Diagram, 1 Chart, 7 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22Wave+packets%22">Wave packets</searchLink><br /><searchLink fieldCode="DE" term="%22Seismograms%22">Seismograms</searchLink><br /><searchLink fieldCode="DE" term="%22Seismological+stations%22">Seismological stations</searchLink><br /><searchLink fieldCode="DE" term="%22Natural+disasters%22">Natural disasters</searchLink><br /><searchLink fieldCode="DE" term="%22Seismology%22">Seismology</searchLink>
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  Data: Short-period seismographs of the vertical component have a frequency response similar to a bandpass filter with a low cutoff frequency around 1 Hz. This instrument's response distorts in some way the interesting signal that arrives at the sensor. In this case, the aim of the deconvolution is at recover the signal as it arrives at the sensor, since this signal can be very important to the study of source mechanisms, for instance. In this article we present a new method of regularized inversion based on the wavelet packet transform. This method achieves the deconvolution of the instrument response through the time-frequency information contained in the wavelet packet transform of the signals. Although the instrument response is known (Jáuregui, 1997), the noise and other artifacts in the signal make deconvolution a nontrivial process. As an evaluation method, we first apply it to synthetic signals we generated. In this way, the shape of the whole output signal and the onset time of the first pulse can be compared to the ideal signal. The method is also applied to real signals, specifically to local short-period seismograms registered at the seismic network of the University of Alicante in southeastern Spain. In both cases, the results are compared with the water-level correction method currently used. The comparison shows how the proposed method works better, as it provides, in contrast to the current method, the shape and the onset time of the ideal signal. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Bulletin of the Seismological Society of America is the property of Seismological Society of America and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1785/012003100
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        Text: English
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        PageCount: 9
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        Type: general
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      – SubjectFull: Seismological stations
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      – SubjectFull: Natural disasters
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      – SubjectFull: Seismology
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              Text: Aug2004
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