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Improving detection of acoustic signals by means of a time and frequency multiple energy detectors

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Improving detection of acoustic signals by means of a time and frequency multiple energy detectors

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dc.contributor.author Moragues Escrivá, Jorge es_ES
dc.contributor.author Serrano Cartagena, Arturo es_ES
dc.contributor.author Vergara Domínguez, Luís es_ES
dc.contributor.author Gosálbez Castillo, Jorge es_ES
dc.date.accessioned 2015-10-14T06:35:56Z
dc.date.available 2015-10-14T06:35:56Z
dc.date.issued 2011-08
dc.identifier.issn 1070-9908
dc.identifier.uri http://hdl.handle.net/10251/55944
dc.description.abstract Standard energy detectors (ED) are optimum to detect unknown signals in presence of uncorrelated Gaussian noise. However, in real applications the signal duration and bandwidth are unpredictable and this fact can considerably degrade the detection performance if the appropriate observation vector length is not correctly selected. Therefore, a multiple energy detector (MED) structure is applied in the time as well as in the frequency domain and it is evaluated in real acoustic scenarios. The results obtained demonstrate the robustness of the MED structure and a performance improvement in comparison to the standard ED. © 2011 IEEE. es_ES
dc.description.sponsorship Manuscript received March 01, 2011; revised May 26, 2011; accepted May 29, 2011. Date of publication June 07, 2011; date of current version June 17, 2011. This work was supported by the Spanish Administration and the FEDER Programme of the EC under Grant TEC 2008-02975, and by the Generalitat Valenciana under Grant PROMETEO/2010/040. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Saeed Sanei. en_EN
dc.language Español es_ES
dc.publisher Institute of Electrical and Electronics Engineers (IEEE) es_ES
dc.relation.ispartof IEEE Signal Processing Letters es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Acoustic event es_ES
dc.subject Frequency and time detection es_ES
dc.subject Multiple energy detector es_ES
dc.subject Acoustic events es_ES
dc.subject Acoustic signals es_ES
dc.subject Detection performance es_ES
dc.subject Energy detectors es_ES
dc.subject Frequency domains es_ES
dc.subject Observation vectors es_ES
dc.subject Performance improvements es_ES
dc.subject Real applications es_ES
dc.subject Signal duration es_ES
dc.subject Time detection es_ES
dc.subject Detectors es_ES
dc.subject Gaussian noise (electronic) es_ES
dc.subject Signal detection es_ES
dc.subject.classification TEORIA DE LA SEÑAL Y COMUNICACIONES es_ES
dc.title Improving detection of acoustic signals by means of a time and frequency multiple energy detectors es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1109/LSP.2011.2158644
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//TEC2008-02975/ES/PROCESADOR NO-LINEAL DE MEZCLAS CON APLICACION EN DETECCION, CLASIFICACION, FILTRADO Y PREDICCION/ 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 Moragues Escrivá, J.; Serrano Cartagena, A.; Vergara Domínguez, L.; Gosálbez Castillo, J. (2011). Improving detection of acoustic signals by means of a time and frequency multiple energy detectors. IEEE Signal Processing Letters. 18(8):458-461. https://doi.org/10.1109/LSP.2011.2158644 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1109/LSP.2011.2158644 es_ES
dc.description.upvformatpinicio 458 es_ES
dc.description.upvformatpfin 461 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 18 es_ES
dc.description.issue 8 es_ES
dc.relation.senia 211911 es_ES
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES
dc.contributor.funder Generalitat Valenciana es_ES


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