Title :
Source Separation on Seismic Data: Application in a Geophysical Setting
Author :
Moni, Aishwarya ; Bean, Christopher J. ; Lokmer, Ivan ; Rickard, Scott
Author_Institution :
CASL, Univ. Coll. Dublin, Dublin, Ireland
fDate :
5/1/2012 12:00:00 AM
Abstract :
This article gives a brief description of the degenerate unmixing estimation technique (DUET) and applies it in a geophysical setting. Source separation has not been fully addressed by geophysicists and is a crucial first step to locating simultaneous sources, which in turn helps with understanding the dynamics of the sources and their source mechanisms. DUET is applied to synthetic seismic signals. The source separation method works success fully to separate two contemporary explosive sources, and two simultaneous oblique tensile cracks in a three-dimensional (3-D) structural model of Mount Etna. The method has also been applied to field recordings on Mount Etna since 2008. The method separates long-period (LP) events from tremor, LP events from volcano tectonic (VT) events, and different sources of tremor from each other.
Keywords :
cracks; geophysical signal processing; seismology; source separation; tectonics; volcanology; AD 2008; DUET; Italy; Mount Etna; degenerate unmixing estimation technique; explosive sources; geophysical setting; long-period events; oblique tensile cracks; seismic data; source separation; synthetic seismic signals; three-dimensional structural model; tremor; volcano tectonic events; Estimation; Geophysical measurements; Geophysical signal processing; Histograms; Sensors; Signal processing algorithms; Source separation; Speech processing; Surface waves; Time frequency analysis;
Journal_Title :
Signal Processing Magazine, IEEE
DOI :
10.1109/MSP.2012.2184229