A Wavelet Transform Method to Detect P and S-Phases in Three Component Seismic Data

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ISSN Print: 2169-9623
ISSN Online: 2169-9631
www.scirp.org/journal/ojer
E-mail: ojer@scirp.org

"A Wavelet Transform Method to Detect P and S-Phases in Three Component Seismic Data"
written by Salam Al-Hashmi, Adrian Rawlins, Frank Vernon,
published by Open Journal of Earthquake Research, Vol.2 No.1, 2013

has been cited by the following article(s):

[1]	Lithosphere–atmosphere–ionosphere coupling during the September 2015 Coquimbo earthquake
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[2]	Why Daubechies wavelets are so successful
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[4]	Automated detection of microearthquakes in continuous noisy records produced by local ocean bottom seismographs or coastal networks
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[6]	The illustrated wavelet transform handbook: introductory theory and applications in science, engineering, medicine and finance
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[7]	Trigger analysis for wireless bridge earthquake monitoring system
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[8]	Monitoreo de la actividad sísmica del territorio colombiano usando aprendizaje profundo

[1]	Lithosphere–atmosphere–ionosphere coupling during the September 2015 Coquimbo earthquake Journal of Earth System Science, 2024 DOI:10.1007/s12040-023-02222-x

[2]	Why Daubechies wavelets are so successful Journal of Intelligent & Fuzzy Systems, 2022 DOI:10.3233/JIFS-212021

[3]	Digital Processing and Automatic Picking of Seismic Signals Journal of Earthquake and Tsunami, 2021 DOI:10.1142/S1793431121500135

[4]	Automated detection of microearthquakes in continuous noisy records produced by local ocean bottom seismographs or coastal networks Russian Journal of Earth Sciences, 2019 DOI:10.2205/2018ES000649

[5]	Trigger Analysis for Wireless Bridge Earthquake Monitoring System IABSE Conference, Nara 2015: Elegance in structures, 2015 DOI:10.2749/222137815815775781

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