- -

Affine Projection Algorithm Over Acoustic Sensor Networks for Active Noise Control

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

Affine Projection Algorithm Over Acoustic Sensor Networks for Active Noise Control

Mostrar el registro sencillo del ítem

Ficheros en el ítem

dc.contributor.author Ferrer Contreras, Miguel es_ES
dc.contributor.author Diego Antón, María de es_ES
dc.contributor.author Piñero, Gema es_ES
dc.contributor.author Gonzalez, Alberto es_ES
dc.date.accessioned 2022-09-14T18:04:54Z
dc.date.available 2022-09-14T18:04:54Z
dc.date.issued 2021 es_ES
dc.identifier.issn 2329-9290 es_ES
dc.identifier.uri http://hdl.handle.net/10251/186048
dc.description.abstract [EN] Acoustic sensor networks (ASNs) are an effective solution to implement active noise control (ANC) systems by using distributed adaptive algorithms. On one hand, ASNs provide scalable systems where the signal processing load is distributed among the network nodes. On the other hand, their noise reduction performance is comparable to that of their respective centralized processing systems. In this sense, the distributed multiple error filtered-x least mean squares (DMEFxLMS) adaptive algorithm has shown to obtain the same performance than its centralized counterpart as long as there are no communications constraints in the underlying ASN. Regarding affine projection (AP) adaptive algorithms, some distributed approaches that are approximated versions of the multichannel filtered-x affine projection (MFxAP) algorithm have been previously proposed. These AP algorithms can efficiently share the processing load among the nodes, but at the expense of worsening their convergence properties. In this paper we develop the exact distributed multichannel filtered-x AP (EFxAP) algorithm, which obtains the same solution as that of the MFxAP algorithm as long as there are no communications constraints in the underlying ASN. In the EFxAP algorithm each node can compute a part or the entire inverse matrix needed by the centralized MFxAP algorithm. Thus, we propose three different strategies that obtain significant computational saving: 1) Gauss Elimination, 2) block LU factorization, and 3) matrix inversion lemma. As a result, each node computes only between 25%¿60% of the number of multiplications required by the direct inversion of the matrix. Regarding the performance in transient and steady states, the EFxAP exhibits the fastest convergence and the highest noise level reduction for any size of the acoustic network and any projection order of the AP algorithm compared to the DMEFxLMS and two previously reported distributed AP algorithms. es_ES
dc.description.sponsorship This work was supported by EU together with Spanish Government through RTI2018-098085B-C41 (MINECO/FEDER) and Generalitat Valenciana through PROMETEO/2019/109. es_ES
dc.language Inglés es_ES
dc.publisher Institute of Electrical and Electronics Engineers es_ES
dc.relation.ispartof IEEE/ACM Transactions on Audio Speech and Language Processing es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Active noise control es_ES
dc.subject Acoustic sensor networks es_ES
dc.subject Affine projection algorithm es_ES
dc.subject Distributed algorithms es_ES
dc.subject Adaptive filters es_ES
dc.subject.classification TEORIA DE LA SEÑAL Y COMUNICACIONES es_ES
dc.title Affine Projection Algorithm Over Acoustic Sensor Networks for Active Noise Control es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1109/TASLP.2020.3042590 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-098085-B-C41/ES/DYNAMIC ACOUSTIC NETWORKS FOR CHANGING ENVIRONMENTS/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//PROMETEO%2F2019%2F109//COMUNICACION Y COMPUTACION INTELIGENTES Y SOCIALES/ 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.; Diego Antón, MD.; Piñero, G.; Gonzalez, A. (2021). Affine Projection Algorithm Over Acoustic Sensor Networks for Active Noise Control. IEEE/ACM Transactions on Audio Speech and Language Processing. 29:448-461. https://doi.org/10.1109/TASLP.2020.3042590 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1109/TASLP.2020.3042590 es_ES
dc.description.upvformatpinicio 448 es_ES
dc.description.upvformatpfin 461 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 29 es_ES
dc.relation.pasarela S\424891 es_ES
dc.contributor.funder GENERALITAT VALENCIANA es_ES
dc.contributor.funder AGENCIA ESTATAL DE INVESTIGACION es_ES
dc.contributor.funder European Regional Development Fund es_ES
upv.costeAPC 968 es_ES


Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem