Search results for " seismic signals"

showing 3 items of 3 documents

A New Dissimilarity Measure for Clustering Seismic Signals

2011

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 dat…

Focal mechanismSimilarity (geometry)Cross-correlationHypocenterSettore INF/01 - InformaticaComputer sciencebusiness.industryHomogeneity (statistics)Pattern recognitioncomputer.software_genreMeasure (mathematics)Physics::GeophysicsSettore GEO/11 - Geofisica ApplicataWaveformArtificial intelligenceData miningbusinessCluster analysiscomputerDissimilarity measure Clustering Seismic Signals
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Polarization and high resolution parametric spectral analysis applied to the seismic signals recorded on the Marsili submarine volcano

2008

Polarizationspectral analysis seismic signalsMarsili submarine volcano
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Dissimilarity Measures for the Identification of Earthquake Focal Mechanisms

2013

This work presents a study about dissimilarity measures for seismic signals, and their relation to clustering in the particular problem of the identification of earthquake focal mechanisms, i.e. the physical phenomena which have generated an earthquake. Starting from the assumption that waveform similarity implies similarity in the focal parameters, important details about them can be determined by studying waveforms related to the wave field produced by earthquakes and recorded by a seismic network. Focal mechanisms identification is currently investigated by clustering of seismic events, using mainly cross-correlation dissimilarity in conjunction with hierarchical clustering algorithm. By…

Settore INF/01 - InformaticaRelation (database)Cross-correlationComputer sciencebusiness.industryPattern recognitionField (computer science)Physics::GeophysicsHierarchical clusteringIdentification (information)Similarity (network science)WaveformArtificial intelligenceCluster analysisbusinessmetrics clustering seismic signals waveforms
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