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dc.contributor.author | Soriano Tolosa, Antonio | es_ES |
dc.contributor.author | Vergara Domínguez, Luís | es_ES |
dc.contributor.author | Moragues, Jorge | es_ES |
dc.contributor.author | Miralles Ricós, Ramón | es_ES |
dc.date.accessioned | 2015-09-09T12:46:18Z | |
dc.date.available | 2015-09-09T12:46:18Z | |
dc.date.issued | 2014-03 | |
dc.identifier.issn | 0165-1684 | |
dc.identifier.uri | http://hdl.handle.net/10251/54439 | |
dc.description.abstract | [EN] One-class detector is an option to deal with the problem of detecting an unknown signal in a background noise, as it is only necessary to know the noise distribution. Thus a Gaussian copula is proposed to capture the dependence among the noise samples, meanwhile the marginals can be estimated using well-known methods. We show that classical energy detectors are particular cases of the proposed one-class detector, when Gaussian noise distribution is assumed, but are inappropriate in other cases. Experiments combining simulated noise and real acoustic events have confirmed the superiority of the proposed detectors when noise is non-Gaussian. An interpretation of the methods in terms of the Edgeworth expansion is also included. | es_ES |
dc.description.sponsorship | This work has been supported by Generalitat Valenciana under grant PROMETEO 2010-040 and by the European Commission under grant FP7-270318 (Art Sense). | en_EN |
dc.language | Español | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Signal Processing | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Signal detection | es_ES |
dc.subject | One-class detector | es_ES |
dc.subject | Copula | es_ES |
dc.subject | Energy detector | es_ES |
dc.subject.classification | TEORIA DE LA SEÑAL Y COMUNICACIONES | es_ES |
dc.title | Unknown Signal Detection by One-class Detector based on Gaussian Copula | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.sigpro.2013.09.011 | |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/FP7/270318/EU/Augumented RealiTy Supported adaptive and personalized Experience in a museum based oN processing real-time Sensor Events/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/GVA//PROMETEO%2F2010%2F040/ | es_ES |
dc.rights.accessRights | Abierto | 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.contributor.affiliation | Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions | es_ES |
dc.description.bibliographicCitation | Soriano Tolosa, A.; Vergara Domínguez, L.; Moragues, J.; Miralles Ricós, R. (2014). Unknown Signal Detection by One-class Detector based on Gaussian Copula. Signal Processing. 96:315-320. https://doi.org/10.1016/j.sigpro.2013.09.011 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://dx.doi.org/10.1016/j.sigpro.2013.09.011 | es_ES |
dc.description.upvformatpinicio | 315 | es_ES |
dc.description.upvformatpfin | 320 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 96 | es_ES |
dc.relation.senia | 282968 | es_ES |
dc.contributor.funder | European Commission | |
dc.contributor.funder | Generalitat Valenciana |