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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, Gemma | es_ES |
dc.date.accessioned | 2018-05-25T04:22:41Z | |
dc.date.available | 2018-05-25T04:22:41Z | |
dc.date.issued | 2017 | es_ES |
dc.identifier.issn | 1053-587X | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/102617 | |
dc.description.abstract | [EN] In this paper, we present a distributed affine projection (AP) algorithm for an acoustic sensor network where the nodes are acoustically coupled. Every acoustic node is composed of a microphone, a processor, and an actuator to control the sound field. This type of networks can use distributed adaptive algorithms to deal with the active noise control (ANC) problem in a cooperative manner, providing more flexible and scalable ANC systems. In this regard, we introduce here a distributed version of the multichannel filtered-x AP algorithm over an acoustic sensor network that it is called distributed filtered-x AP (DFxAP) algorithm. The analysis of the mean and the mean-square deviation performance of the algorithm at each node is given for a network with a ring topology and without constraints in the communication layer. The theoretical results are validated through several simulations. Moreover, simulations show that the proposed DFxAP outperforms the previously reported distributed multiple error filtered-x least mean square algorithm. | es_ES |
dc.description.sponsorship | This work was supported in part by EU together with Spanish Government under Grant TEC2015-67387-C4-1-R (MINECO/FEDER), and in part by Generalitat Valenciana under PROMETEOII/2014/003. | en_EN |
dc.language | Inglés | es_ES |
dc.publisher | Institute of Electrical and Electronics Engineers | es_ES |
dc.relation.ispartof | IEEE Transactions on Signal Processing | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Acoustic sensor networks | es_ES |
dc.subject | Affine projection algorithm | es_ES |
dc.subject | Distributed adaptive filters | es_ES |
dc.subject | Active noise control | es_ES |
dc.subject.classification | TEORIA DE LA SEÑAL Y COMUNICACIONES | es_ES |
dc.title | Distributed Affine Projection Algorithm Over Acoustically Coupled Sensor Networks | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1109/TSP.2017.2742987 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/GVA//PROMETEOII%2F2014%2F003/ES/Computación y comunicaciones de altas prestaciones y aplicaciones en ingeniería/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//TEC2015-67387-C4-1-R/ES/SMART SOUND PROCESSING FOR THE DIGITAL LIVING/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions | es_ES |
dc.description.bibliographicCitation | Ferrer Contreras, M.; Gonzalez, A.; Diego Antón, MD.; Piñero, G. (2017). Distributed Affine Projection Algorithm Over Acoustically Coupled Sensor Networks. IEEE Transactions on Signal Processing. 65(24):6423-6434. https://doi.org/10.1109/TSP.2017.2742987 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1109/TSP.2017.2742987 | es_ES |
dc.description.upvformatpinicio | 6423 | es_ES |
dc.description.upvformatpfin | 6434 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 65 | es_ES |
dc.description.issue | 24 | es_ES |
dc.relation.pasarela | S\345030 | es_ES |
dc.contributor.funder | Generalitat Valenciana | es_ES |
dc.contributor.funder | Ministerio de Economía, Industria y Competitividad | es_ES |