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Selecting time windows of seismic phases and noise for engineering seismology applications: a versatile methodology and algorithm

Abstract : Seismic signal windowing is the preliminary step for many analysis procedures in engineering seismology (standard spectral ratio, quality factor, general inversion techniques, etc.). Moreover a noise window is often necessary for the data quality control through the signal-to-noise verification. Selecting the noise window can be challenging when large heterogeneous datasets are considered, especially when they include short preevent noise signals. This study proposes a fully automatic and configurable (i.e., with default parameters that can also be user-defined) algorithm to windowing the noise and the P, S, coda and full signal once the P-wave (T P) and S-wave (T S) first arrivals are known. An application example is given on a KiK-net dataset. A Matlab language implementation of this algorithm is proposed as an online resource.
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https://hal-insu.archives-ouvertes.fr/insu-01741842
Contributor : Pierre-Yves Bard <>
Submitted on : Tuesday, March 2, 2021 - 4:48:24 PM
Last modification on : Tuesday, May 11, 2021 - 11:37:32 AM
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Vincent Perron, Aurore Laurendeau, Fabrice Hollender, Pierre-Yves Bard, Céline Gélis, et al.. Selecting time windows of seismic phases and noise for engineering seismology applications: a versatile methodology and algorithm. Bulletin of Earthquake Engineering, Springer Verlag, 2018, 16, pp.2211-2225. ⟨10.1007/s10518-017-0131-9⟩. ⟨insu-01741842⟩

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