Earth-prints repository, logo   DSpace

About DSpace Software
|earth-prints home page | roma library | bologna library | catania library | milano library | napoli library | palermo library
Please use this identifier to cite or link to this item:

Authors: Benvegna, Francesco*
D'Alessandro, Antonino*
Lo Bosco, Giosuè*
Luzio, Dario*
Pinello, Luca*
Tegolo, Domenico*
Title: A new dissimilarity measure for clustering seismic signals
Issue Date: 6-Sep-2011
Keywords: Clustering
Seismci singnals
dissimilarity measure
Abstract: Hypocenter and focal mechanism of an earthquake can be determined by the analysis of signals, named waveforms, related to the wave field produced and recorded by a seismic network. Assuming that waveform similarity implies the similarity of focal parameters, the analysis of those signals characterized by very similar shapes can be used to give important details about the physical phenomena which have generated an earthquake. Recent works have shown the effectiveness of cross-correlation and/or cross-spectral dissimilarities to identify clusters of seismic events. In this work we propose a new dissimilarity measure between seismic signals whose reliability has been tested on real seismic data by computing external and internal validation indices on the obtained clustering. Results show its superior quality in terms of cluster homogeneity and computational time with respect to the largely adopted cross correlation dissimilarity.
Appears in Collections:04.06.09. Waves and wave analysis
Conference materials

Files in This Item:

File SizeFormatVisibility
iciap2011-185.pdf270.16 kBAdobe PDFView/Open
iciap2011_poster.pdf1.49 MBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Share this record




Stumble it!



Valid XHTML 1.0! ICT Support, development & maintenance are provided by CINECA. Powered on DSpace Software. CINECA