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Sound field separation with cross measurement surfaces

With conventional near-field acoustical holography, it is impossible to identify sound pressure when the coherent sound sources are located on the same side of the array. This paper proposes a solution, using cross measurement surfaces to separate the sources based on the equivalent source method. E...

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Detalles Bibliográficos
Autores principales: Mao, Jin, Du, Jinfu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5991362/
https://www.ncbi.nlm.nih.gov/pubmed/29874230
http://dx.doi.org/10.1371/journal.pone.0196837
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author Mao, Jin
Du, Jinfu
author_facet Mao, Jin
Du, Jinfu
author_sort Mao, Jin
collection PubMed
description With conventional near-field acoustical holography, it is impossible to identify sound pressure when the coherent sound sources are located on the same side of the array. This paper proposes a solution, using cross measurement surfaces to separate the sources based on the equivalent source method. Each equivalent source surface is built in the center of the corresponding original source with a spherical surface. According to the different transfer matrices between equivalent sources and points on holographic surfaces, the weighting of each equivalent source from coherent sources can be obtained. Numerical and experimental studies have been performed to test the method. For the sound pressure including noise after separation in the experiment, the calculation accuracy can be improved by reconstructing the pressure with Tikhonov regularization and the L-curve method. On the whole, a single source can be effectively separated from coherent sources using cross measurement.
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spelling pubmed-59913622018-06-08 Sound field separation with cross measurement surfaces Mao, Jin Du, Jinfu PLoS One Research Article With conventional near-field acoustical holography, it is impossible to identify sound pressure when the coherent sound sources are located on the same side of the array. This paper proposes a solution, using cross measurement surfaces to separate the sources based on the equivalent source method. Each equivalent source surface is built in the center of the corresponding original source with a spherical surface. According to the different transfer matrices between equivalent sources and points on holographic surfaces, the weighting of each equivalent source from coherent sources can be obtained. Numerical and experimental studies have been performed to test the method. For the sound pressure including noise after separation in the experiment, the calculation accuracy can be improved by reconstructing the pressure with Tikhonov regularization and the L-curve method. On the whole, a single source can be effectively separated from coherent sources using cross measurement. Public Library of Science 2018-06-06 /pmc/articles/PMC5991362/ /pubmed/29874230 http://dx.doi.org/10.1371/journal.pone.0196837 Text en © 2018 Mao, Du http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Mao, Jin
Du, Jinfu
Sound field separation with cross measurement surfaces
title Sound field separation with cross measurement surfaces
title_full Sound field separation with cross measurement surfaces
title_fullStr Sound field separation with cross measurement surfaces
title_full_unstemmed Sound field separation with cross measurement surfaces
title_short Sound field separation with cross measurement surfaces
title_sort sound field separation with cross measurement surfaces
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5991362/
https://www.ncbi.nlm.nih.gov/pubmed/29874230
http://dx.doi.org/10.1371/journal.pone.0196837
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