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Application of the wavelet transform in detecting multiple events of microearthquake seismograms
Author(s) -
Lou M.,
Rial J. A.
Publication year - 1995
Publication title -
geophysical research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.007
H-Index - 273
eISSN - 1944-8007
pISSN - 0094-8276
DOI - 10.1029/95gl01784
Subject(s) - microearthquake , seismogram , wavelet , seismology , geology , wavelet transform , attenuation , signal (programming language) , dispersion (optics) , geophysics , algorithm , computer science , artificial intelligence , physics , optics , induced seismicity , programming language
The Wavelet Transform (WT) is employed here to discriminate multiple events contained in microearthquake seismograms. The WT decomposes the signal into well localized time‐frequency compartments (or “Heisenberg boxes”) that display the energy distribution over the time and frequency domains simultaneously, therefore providing a useful technique to characterize dispersion and attenuation of a seismic signal, as well as to identify multiple interfering events. This letter suggests that the WT could provide a useful tool to analyze complicated seismic signals, especially to detect the multiple events contained in microearthquake seismograms.