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Convex combination filtered-X algorithms for active noise control systems

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Convex combination filtered-X algorithms for active noise control systems

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dc.contributor.author Ferrer Contreras, Miguel es_ES
dc.contributor.author Gonzalez, Alberto es_ES
dc.contributor.author Diego Antón, María de es_ES
dc.contributor.author Piñero Sipán, María Gemma es_ES
dc.date.accessioned 2014-11-04T14:23:31Z
dc.date.available 2014-11-04T14:23:31Z
dc.date.issued 2013-01
dc.identifier.issn 1558-7916
dc.identifier.uri http://hdl.handle.net/10251/43850
dc.description.abstract Adaptive filtering schemes exhibit a compromise between convergence speed and steady-state mean square error. Trying to overcome this trade-off, convex combination of adaptive filters have been recently developed for system identification achieving better performance than traditional approaches. The purpose of this work is to apply the convex combination strategy to single-channel and multichannel active noise control systems. In these systems it is necessary to take into account the secondary path between the adaptive filter output and the error sensor and the possible unavailability of the disturbance signal, which depends on the filtering scheme considered. Even though this strategy involves a higher computational burden than the classic adaptive filters, it exhibits a good performance in terms of convergence speed and steady-state mean square error. es_ES
dc.description.sponsorship This work was supported in part by the Spanish Ministerio de Ciencia e Innovacion TEC2009-13741, Generalitat Valenciana PROMETEO 2009/0013, Generalitat Valenciana GV/2010/027, and Universitat Politecnica de Valencia PAID-06-09. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Boaz Rafaely. en_EN
dc.language Inglés es_ES
dc.publisher Institute of Electrical and Electronics Engineers (IEEE) es_ES
dc.relation.ispartof IEEE Transactions on Audio, Speech and Language Processing es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Active noise control es_ES
dc.subject Adaptive filtering es_ES
dc.subject Convex combination es_ES
dc.subject Filtered-x structure es_ES
dc.subject Modified filtered-x structure es_ES
dc.subject Multichannel adaptive filtering es_ES
dc.subject.classification TEORIA DE LA SEÑAL Y COMUNICACIONES es_ES
dc.title Convex combination filtered-X algorithms for active noise control systems es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1109/TASL.2012.2215595
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//TEC2009-13741/ES/Spatial Audio Systems Based On Massive Parallel Processing Of Multichannel Acoustic Signals With General Purpose-Graphics Processing Units (Gp-Gpu) And Multicores/ / es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//PROMETEO09%2F2009%2F013/ES/Computacion de altas prestaciones sobre arquitecturas actuales en porblemas de procesado múltiple de señal/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//GV%2F2010%2F027/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/UPV//PAID-06-09/ es_ES
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 Ferrer Contreras, M.; Gonzalez, A.; Diego Antón, MD.; Piñero Sipán, MG. (2013). Convex combination filtered-X algorithms for active noise control systems. IEEE Transactions on Audio, Speech and Language Processing. 21(1):154-165. https://doi.org/10.1109/TASL.2012.2215595 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1109/TASL.2012.2215595 es_ES
dc.description.upvformatpinicio 154 es_ES
dc.description.upvformatpfin 165 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 21 es_ES
dc.description.issue 1 es_ES
dc.relation.senia 231534
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder Universitat Politècnica de València es_ES


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