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Adaptive Filtered-x Algorithms for Room Equalization Based on Block-Based Combination Schemes

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Adaptive Filtered-x Algorithms for Room Equalization Based on Block-Based Combination Schemes

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dc.contributor.author Fuster Criado, Laura es_ES
dc.contributor.author Diego Antón, María de es_ES
dc.contributor.author Azpicueta-Ruiz, Luis A. es_ES
dc.contributor.author Ferrer Contreras, Miguel es_ES
dc.date.accessioned 2017-06-26T11:10:05Z
dc.date.available 2017-06-26T11:10:05Z
dc.date.issued 2016-10
dc.identifier.issn 2329-9290
dc.identifier.uri http://hdl.handle.net/10251/83630
dc.description (c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. es_ES
dc.description.abstract [EN] Room equalization has become essential for sound reproduction systems to provide the listener with the desired acoustical sensation. Recently, adaptive filters have been proposed as an effective tool in the core of these systems. In this context, this paper introduces different novel schemes based on the combination of adaptive filters idea: a versatile and flexible approach that permits obtaining adaptive schemes combining the capabilities of several independent adaptive filters. In this way, we have investigated the advantages of a scheme called combination of block-based adaptive filters which allows a blockwise combination splitting the adaptive filters into nonoverlapping blocks. This idea was previously applied to the plant identification problem, but has to be properly modified to obtain a suitable behavior in the equalization application. Moreover, we propose a scheme with the aim of further improving the equalization performance using the a priori knowledge of the energy distribution of the optimal inverse filter, where the block filters are chosen to fit with the coefficients energy distribution. Furthermore, the biased block-based filter is also introduced as a particular case of the combination scheme, especially suited for low signal-to-noise ratios (SNRs) or sparse scenarios. Although the combined schemes can be employed with any kind of adaptive filter, we employ the filtered-x improved proportionate normalized least mean square algorithm as basis of the proposed algorithms, allowing to introduce a novel combination scheme based on partitioned block schemes where different blocks of the adaptive filter use different parameter settings. Several experiments are included to evaluate the proposed algorithms in terms of convergence speed and steady-state behavior for different degrees of sparseness and SNRs. es_ES
dc.description.sponsorship The work of L. A. Azpicueta-Ruiz was supported in part by the Comtmidad de Madrid through CASI-CAM-CM under Grant S2013/ICE-2845, in part by the Spanish Ministry of Economy and Competitiveness through DAMA under Grant TIN2015-70308-REDT, and Grant TEC2014-52289-R, and in part by the European Union. The work of L. Fuster, M. Ferrer, and M. de Diego was supported in part by EU together with the Spanish Government under Grant TEC2015-67387-C4-1-R (MINECO/FEDER), and in part by the Cieneralitat Valenciana under Grant PROMETEOII/2014/003. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Simon Dodo.
dc.language Inglés es_ES
dc.publisher Institute of Electrical and Electronics Engineers (IEEE) es_ES
dc.relation CAM/S2013/ICE-2845 es_ES
dc.relation MINECO/TIN2015-70308-REDT es_ES
dc.relation MINECO/TEC2015-67387-C4-1-R es_ES
dc.relation TEC2014-52289-R es_ES
dc.relation GV/PROMETEOII/2014/003 es_ES
dc.relation.ispartof IEEE/ACM Transactions on Audio, Speech and Language Processing es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Block-based algorithms es_ES
dc.subject Biased filters es_ES
dc.subject Convex combination es_ES
dc.subject Filtered-x structures es_ES
dc.subject Room adaptive equalization es_ES
dc.subject.classification TEORIA DE LA SEÑAL Y COMUNICACIONES es_ES
dc.title Adaptive Filtered-x Algorithms for Room Equalization Based on Block-Based Combination Schemes es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1109/TASLP.2016.2583065
dc.rights.accessRights Abierto 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.contributor.affiliation Universitat Politècnica de València. Escuela Politécnica Superior de Gandia - Escola Politècnica Superior de Gandia es_ES
dc.description.bibliographicCitation Fuster Criado, L.; Diego Antón, MD.; Azpicueta-Ruiz, LA.; Ferrer Contreras, M. (2016). Adaptive Filtered-x Algorithms for Room Equalization Based on Block-Based Combination Schemes. IEEE/ACM Transactions on Audio, Speech and Language Processing. 24(10):1732-1745. doi:10.1109/TASLP.2016.2583065 es_ES
dc.description.accrualMethod Senia es_ES
dc.relation.publisherversion http://dx.doi.org/10.1109/TASLP.2016.2583065 es_ES
dc.description.upvformatpinicio 1732 es_ES
dc.description.upvformatpfin 1745 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 24 es_ES
dc.description.issue 10 es_ES
dc.relation.senia 325557 es_ES
dc.contributor.funder Ministerio de Economía y Competitividad (MINECO)
dc.contributor.funder Generalitat Valenciana (GV)
dc.contributor.funder Comunidad de Madrid (CAM)


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