Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/5830
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dc.contributor.authorallGalli, L.; Advanced Computer Systems, Rome, Italyen
dc.contributor.authorallCastellani, C.; Advanced Computer Systems, Rome, Italyen
dc.contributor.authorallPace, G.; Advanced Computer Systems, Rome, Italyen
dc.contributor.authorallSaccorotti, G.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Pisa, Pisa, Italiaen
dc.contributor.editorallBean, C. J.; chool of Geological Sciences, University College Dublin, Irelanden
dc.contributor.editorallBraiden, A. K.; School of Geological Sciences, University College Dublin, Irelanden
dc.contributor.editorallLokmer, I.; School of Geological Sciences, University College Dublin, Irelanden
dc.contributor.editorallMartini, F.; School of Geological Sciences, University College Dublin, Irelanden
dc.contributor.editorallO’Brien, G. S.; School of Geological Sciences, University College Dublin, Irelanden
dc.date.accessioned2010-01-22T18:17:01Zen
dc.date.available2010-01-22T18:17:01Zen
dc.date.issued2009en
dc.identifier.isbn978-1-905254-39-2en
dc.identifier.urihttp://hdl.handle.net/2122/5830en
dc.description.abstractThis work describes an automatic classification procedure for seismic signals suitable for the analysis of complex, broad-band waveforms commonly associated with fluid-rock interaction in volcanic and hydrothermal systems. Based on Discrete Wavelet Transform, a set of significant seismic signal features that characterize the type of event is identified (e.g. noise, volcano tectonic, long period). These features are initially assessed for events whose category (class) can be previously determined by an expert analyst. A Bayesian Pattern Recognition supervised technique based on these features is adopted to classify a new ‘unlabelled pattern’, whose class is unknown. In this way values computed for known events are used to classify events of unknown identity ('supervised classification'). A test was performed on seismological data recorded at Campi Flegrei (Italy), which was divided into three classes. Automatic classification accuracy ranges from 82% to 100% over a broad range of datasets.en
dc.language.isoEnglishen
dc.relation.ispartofVOLUME Project VOLcanoes: Understanding subsurface mass moveMEnt.en
dc.subjectWavelet transformen
dc.subjectSignal classificationen
dc.subjectDenoising techniquesen
dc.titleWavelet decomposition and advanced denoising techniquesn for analysis and classification of seismic signalsen
dc.typebook chapteren
dc.description.statusPublisheden
dc.type.QualityControlPeer-revieweden
dc.description.pagenumber118-129en
dc.subject.INGV04. Solid Earth::04.06. Seismology::04.06.10. Instruments and techniquesen
dc.subject.INGV05. General::05.01. Computational geophysics::05.01.99. General or miscellaneousen
dc.subject.INGV05. General::05.01. Computational geophysics::05.01.01. Data processingen
dc.description.obiettivoSpecifico1.1. TTC - Monitoraggio sismico del territorio nazionaleen
dc.description.fulltextopenen
dc.contributor.authorGalli, L.en
dc.contributor.authorCastellani, C.en
dc.contributor.authorPace, G.en
dc.contributor.authorSaccorotti, G.en
dc.contributor.departmentAdvanced Computer Systems, Rome, Italyen
dc.contributor.departmentAdvanced Computer Systems, Rome, Italyen
dc.contributor.departmentAdvanced Computer Systems, Rome, Italyen
dc.contributor.departmentIstituto Nazionale di Geofisica e Vulcanologia, Sezione Pisa, Pisa, Italiaen
dc.contributor.editorBean, C. J.en
dc.contributor.editorBraiden, A. K.en
dc.contributor.editorLokmer, I.en
dc.contributor.editorMartini, F.en
dc.contributor.editorO’Brien, G. S.en
dc.contributor.editordepartmentchool of Geological Sciences, University College Dublin, Irelanden
dc.contributor.editordepartmentSchool of Geological Sciences, University College Dublin, Irelanden
dc.contributor.editordepartmentSchool of Geological Sciences, University College Dublin, Irelanden
dc.contributor.editordepartmentSchool of Geological Sciences, University College Dublin, Irelanden
dc.contributor.editordepartmentSchool of Geological Sciences, University College Dublin, Irelanden
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypebook chapter-
item.cerifentitytypePublications-
item.grantfulltextopen-
item.fulltextWith Fulltext-
crisitem.author.deptAdvanced Computer Systems, Rome, Italy-
crisitem.author.deptAdvanced Computer Systems, Rome, Italy-
crisitem.author.deptUniversità degli Studi di Roma «La Sapienza», Roma, Italy-
crisitem.author.deptIstituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Pisa, Pisa, Italia-
crisitem.author.orcid0000-0002-3208-6756-
crisitem.author.orcid0000-0003-2915-1446-
crisitem.author.parentorgIstituto Nazionale di Geofisica e Vulcanologia-
crisitem.department.parentorgIstituto Nazionale di Geofisica e Vulcanologia-
crisitem.classification.parent04. Solid Earth-
crisitem.classification.parent05. General-
crisitem.classification.parent05. General-
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