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Seismic signal detection by fractal dimension analysis
Language
English
Obiettivo Specifico
6T. Variazioni delle caratteristiche crostali e precursori
Status
Published
JCR Journal
JCR Journal
Peer review journal
Yes
Title of the book
Issue/vol(year)
4/89 (1999)
Pages (printed)
970-977
Issued date
1999
Abstract
We introduce a new detection algorithm with improved local and regional
seismic signal recognition. The method is based on the difference between
seismic signals and background random noise in terms of fractal dimension D. We
compare the new method extensively with standard methods currently in use at the
Seismic Network of the lstituto Nazionale di Geofisica. Results from the comparisons
show that the new method recognizes seismic phases detected by existing procedures,
and in addition, it features a greater sensitivity to smaller signals, without an increase
in the number of false alarms. The new method was tested on real continuous data
and artificially simulated high-noise conditions and demonstrated a capability to recognize
seismic signals in the presence of high noise. The efficiency of the method
is due to a radically different approach to the topic, in that the assertion that a signal
is fractal implies a relationship between the spectral amplitude of different frequencies.
This relationship allows, for the fractal detector, a complete analysis of the
entire frequency range under consideration.
seismic signal recognition. The method is based on the difference between
seismic signals and background random noise in terms of fractal dimension D. We
compare the new method extensively with standard methods currently in use at the
Seismic Network of the lstituto Nazionale di Geofisica. Results from the comparisons
show that the new method recognizes seismic phases detected by existing procedures,
and in addition, it features a greater sensitivity to smaller signals, without an increase
in the number of false alarms. The new method was tested on real continuous data
and artificially simulated high-noise conditions and demonstrated a capability to recognize
seismic signals in the presence of high noise. The efficiency of the method
is due to a radically different approach to the topic, in that the assertion that a signal
is fractal implies a relationship between the spectral amplitude of different frequencies.
This relationship allows, for the fractal detector, a complete analysis of the
entire frequency range under consideration.
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article
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tosiBSSA1999.pdf
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