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Selection of the convergence step of the Fx-LMS algorithm

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Selection of the convergence step of the Fx-LMS algorithm

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dc.contributor.author Ferrer Contreras, Miguel es_ES
dc.contributor.author de Diego Antón, María es_ES
dc.contributor.author García Mollá, Víctor Manuel es_ES
dc.contributor.author Gonzalez, Alberto es_ES
dc.date.accessioned 2024-06-10T18:23:45Z
dc.date.available 2024-06-10T18:23:45Z
dc.date.issued 2023-10 es_ES
dc.identifier.issn 0165-1684 es_ES
dc.identifier.uri http://hdl.handle.net/10251/204938
dc.description.abstract [EN] The choice of a suitable convergence step that allows the fast convergence of the filtered-x LMS algorithm in practical scenarios is usually carried out by trial and error, since the theoretical developments provide only indicative values. The particularity of the filtered-x structure, which adds a delay between the output of the adaptive filter and the error signal and colors the reference signal, increases the inaccuracy of the theoretical models. Furthermore, the use of band-limited reference signals is beyond the scope of most theoretical studies, which focus on the cases of full-band reference signals, making it difficult to extrapolate these models to band-limited signals. In this paper, we propose a low-cost and meaningful method for selecting the convergence step that is well tuned in most practical cases. It can be used regardless of the type of the reference signal, the system delays, and the nature of the filter required in the filtered-x structure. Numerical simulations are performed to validate the effectiveness of the proposed approach. es_ES
dc.description.sponsorship This work has been partially supported by RTI2018-098085-BC41 and PID2021-125736OB-I00 (MCIN/AEI/10.13039/501100011033/, "ERDF A way of making Europe") and GVA through PROMETEO/2019/109. es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Signal Processing es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Adaptive filtering es_ES
dc.subject Filtered-x LMS es_ES
dc.subject Active noise control es_ES
dc.subject Convergence analysis es_ES
dc.subject.classification TEORÍA DE LA SEÑAL Y COMUNICACIONES es_ES
dc.subject.classification CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL es_ES
dc.title Selection of the convergence step of the Fx-LMS algorithm es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.sigpro.2023.109118 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI//PID2021-125736OB-I00//ADAPTIVE SOUND-PROCESSING TECHNOLOGIES FOR SOUNDFIELD DEPLOYMENT: ALGORITHMS, TOOLS AND TEST BEDS/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//PROMETEO%2F2019%2F109//COMUNICACION Y COMPUTACION INTELIGENTES Y SOCIALES/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI//RTI2018-098085-B-C41-AR//DYNAMIC ACOUSTIC NETWORKS FOR CHANGING ENVIROMENTS/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//CIPROM%2F2022%2F20//COMPUTACION Y TRATAMIENTO DE LA SEÑAL PARA LA SOCIEDAD Y LA INDUSTRIA DIGITALES/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Telecomunicación - Escola Tècnica Superior d'Enginyers de Telecomunicació es_ES
dc.description.bibliographicCitation Ferrer Contreras, M.; De Diego Antón, M.; García Mollá, VM.; Gonzalez, A. (2023). Selection of the convergence step of the Fx-LMS algorithm. Signal Processing. 211. https://doi.org/10.1016/j.sigpro.2023.109118 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.sigpro.2023.109118 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 211 es_ES
dc.relation.pasarela S\494362 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
dc.contributor.funder Universitat Politècnica de València es_ES
dc.subject.ods 03.- Garantizar una vida saludable y promover el bienestar para todos y todas en todas las edades es_ES


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