Abstract
We propose a novel approach to analyze continuous seismic signal and
separate the sources from background noise. A specific application
to the seismicity recorded at Campi Flegrei Caldera during the 2006
ground uplift is presented. The fundamental objective is to improve
the standard procedures of picking the emergent onset arrivals of
the seismic signals, often buried in the high-level ambient noise,
in order to obtain an appropriate catalogue for monitoring the activity
of this densely populated volcanic area. This is particularly useful
in order to estimate the release of the seismic energy and to put
constraints on the source dynamics. An Independent Component Analysis
based approach for the Blind Source Separation of convolutive mixtures
is adopted to obtain a clear separation of Long Period events from
the ambient noise. The approach presents good performance and it
is suitable for real time implementation in seismic monitoring. Its
application to the continuous seismic signal recorded at Campi Flegrei
has allowed the extraction of high-quality waveforms, considerably
improving the detection of low-energy events.
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