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Characterization of the complexity in short oscillating time series: An application to seismic airgun detonations

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Characterization of the complexity in short oscillating time series: An application to seismic airgun detonations

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dc.contributor.author Miralles Ricós, Ramón es_ES
dc.contributor.author Carrión García, Alicia es_ES
dc.contributor.author Looney, D. es_ES
dc.contributor.author Lara Martínez, Guillermo-Fernán es_ES
dc.contributor.author D. Mandic es_ES
dc.date.accessioned 2016-06-10T06:56:14Z
dc.date.available 2016-06-10T06:56:14Z
dc.date.issued 2015-09
dc.identifier.issn 0001-4966
dc.identifier.uri http://hdl.handle.net/10251/65618
dc.description.abstract Extracting frequency-derived parameters allows for the identification and characterization of acoustic events, such as those obtained in passive acoustic monitoring applications. Situations where it is difficult to achieve the desired frequency resolution to distinguish between similar events occur, for example, in short time oscillating events. One feasible approach to make discrimination among such events is by measuring the complexity or the presence of non-linearities in a time series. Available techniques include the delay vector variance (DVV) and recurrence plot (RP) analysis, which have been used independently for statistical testing, however, the similarities between these two techniques have so far been overlooked. This work suggests a method that combines the DVV method with the recurrence quantification analysis parameters of the RP graphs for the characterization of short oscillating events. In order to establish the confidence intervals, a variant of the pseudo-periodic surrogate algorithm is proposed. This allows one to eliminate the fine details that may indicate the presence of non-linear dynamics, without having to add a large amount of noise, while preserving more efficiently the phase-space shape. The algorithm is verified on both synthetic and real world time series. es_ES
dc.description.sponsorship This work has been supported by the Spanish Administration under Grant No. TEC2011-23403. en_EN
dc.language Inglés es_ES
dc.publisher Acoustical Society of America es_ES
dc.relation Spanish Administration TEC2011-23403 es_ES
dc.relation.ispartof Journal of the Acoustical Society of America es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Time series analysis es_ES
dc.subject Chaos es_ES
dc.subject Entropy es_ES
dc.subject Marine seismics es_ES
dc.subject Seismic monitoring es_ES
dc.subject Signal Processing es_ES
dc.subject Signal Modality Characterization es_ES
dc.subject Anthropogenic Noise es_ES
dc.subject Passive Acoustic Monitoring es_ES
dc.subject.classification TEORIA DE LA SEÑAL Y COMUNICACIONES es_ES
dc.title Characterization of the complexity in short oscillating time series: An application to seismic airgun detonations es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1121/1.4929694
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario de Telecomunicación y Aplicaciones Multimedia - Institut Universitari de Telecomunicacions i Aplicacions Multimèdia es_ES
dc.description.bibliographicCitation Miralles Ricós, R.; Carrión García, A.; Looney, D.; Lara Martínez, G.; D. Mandic (2015). Characterization of the complexity in short oscillating time series: An application to seismic airgun detonations. Journal of the Acoustical Society of America. 138(3):1595-1603. doi:10.1121/1.4929694 es_ES
dc.description.accrualMethod Senia es_ES
dc.relation.publisherversion http://dx.doi.org/10.1121/1.4929694 es_ES
dc.description.upvformatpinicio 1595 es_ES
dc.description.upvformatpfin 1603 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 138 es_ES
dc.description.issue 3 es_ES
dc.relation.senia 296654 es_ES


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