Lorente Giner, J.; Ferrer Contreras, M.; Diego Antón, MD.; Gonzalez, A. (2014). GPU Implementation of multichannel adaptive algorithms for local active noise control. IEEE Transactions on Audio, Speech and Language Processing. 22(11):1624-1635. https://doi.org/10.1109/TASLP.2014.2344852
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/51611
Título:
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GPU Implementation of multichannel adaptive algorithms for local active noise control
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Autor:
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Lorente Giner, Jorge
Ferrer Contreras, Miguel
Diego Antón, María de
Gonzalez, Alberto
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Entidad UPV:
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Universitat Politècnica de València. Instituto Universitario de Telecomunicación y Aplicaciones Multimedia - Institut Universitari de Telecomunicacions i Aplicacions Multimèdia
Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
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Fecha difusión:
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Resumen:
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Multichannel active noise control (ANC) systems are commonly based on adaptive signal processing algorithms that require high computational capacity, which constrains their practical implementation. Graphics Processing ...[+]
Multichannel active noise control (ANC) systems are commonly based on adaptive signal processing algorithms that require high computational capacity, which constrains their practical implementation. Graphics Processing Units (GPUs) are well known for their potential for highly parallel data processing. Therefore, GPUs seem to be a suitable platform for multichannel scenarios. However, efficient use of parallel computation in the adaptive filtering context is not straightforward due to the feedback loops. This paper compares two GPU implementations of a multichannel feedforward local ANC system working as a real-time prototype. Both GPU implementations are based on the filtered-x Least Mean Square algorithms; one is based on the conventional filtered-x scheme and the other is based on the modified filtered-x scheme. Details regarding the parallelization of the algorithms are given. Finally, experimental results are presented to compare the performance of both multichannel ANC GPU implementations. The results show the usefulness of many-core devices for developing versatile, scalable, and low-cost multichannel ANC systems.
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Palabras clave:
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Active noise control
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Filtered-x least mean square
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Graphics processing unit
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Derechos de uso:
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Reserva de todos los derechos
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Fuente:
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IEEE Transactions on Audio, Speech and Language Processing. (issn:
1558-7916
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DOI:
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10.1109/TASLP.2014.2344852
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Editorial:
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Institute of Electrical and Electronics Engineers (IEEE)
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Versión del editor:
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http://dx.doi.org/10.1109/TASLP.2014.2344852
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Código del Proyecto:
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info:eu-repo/grantAgreement/MINECO//TEC2012-38142-C04-01/ES/PROCESADO DISTRIBUIDO Y COLABORATIVO DE SEÑALES SONORAS: CONTROL ACTIVO/
info:eu-repo/grantAgreement/Generalitat Valenciana//PROMETEO09%2F2009%2F013/ES/Computacion de altas prestaciones sobre arquitecturas actuales en porblemas de procesado múltiple de señal/
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Descripción:
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© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, 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 component of this work in other works
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Agradecimientos:
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This work was supported by the European Union ERDF and Spanish Government under Project TEC2012-38142-C04, and Generalitat Valenciana under Project PROMETEO/2009/013. The associate editor coordinating the review of this ...[+]
This work was supported by the European Union ERDF and Spanish Government under Project TEC2012-38142-C04, and Generalitat Valenciana under Project PROMETEO/2009/013. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Thushara D. Abhayapala.
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Tipo:
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Artículo
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