Sound field separation based on dictionary learning and sparse sampling
Sound field separation techniques are an advancing tool for extracting a target sound field from a mixed sound field. However, the methods bear a high measurement cost due to the restriction of the sampling theorem. In this study, a sound field separation method based on sparse sampling is establish...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2024-03-01
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| Series: | AIP Advances |
| Online Access: | http://dx.doi.org/10.1063/5.0202931 |
| _version_ | 1797227640373903360 |
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| author | Yuan Liu Yongchang Li Jinyu Zhao |
| author_facet | Yuan Liu Yongchang Li Jinyu Zhao |
| author_sort | Yuan Liu |
| collection | DOAJ |
| description | Sound field separation techniques are an advancing tool for extracting a target sound field from a mixed sound field. However, the methods bear a high measurement cost due to the restriction of the sampling theorem. In this study, a sound field separation method based on sparse sampling is established. The method initially utilizes dictionary learning to generate a sparse basis of the sound field. Then, a mixed sound field can be precisely recovered from sparse sampling of sound pressure and the target sound field can be extracted based on the recovered sound field by means of the theory of equivalent source method. The method is validated by numerical simulations. Compared to sound field separation based on the equivalent source method, the proposed method has advantage in terms of both the accuracy and the stability for sparse sampling. |
| first_indexed | 2024-04-24T14:44:01Z |
| format | Article |
| id | doaj.art-9064530de6a54c1f8d26f02116808aaa |
| institution | Directory Open Access Journal |
| issn | 2158-3226 |
| language | English |
| last_indexed | 2024-04-24T14:44:01Z |
| publishDate | 2024-03-01 |
| publisher | AIP Publishing LLC |
| record_format | Article |
| series | AIP Advances |
| spelling | doaj.art-9064530de6a54c1f8d26f02116808aaa2024-04-02T20:29:17ZengAIP Publishing LLCAIP Advances2158-32262024-03-01143035019035019-510.1063/5.0202931Sound field separation based on dictionary learning and sparse samplingYuan Liu0Yongchang Li1Jinyu Zhao2Key Laboratory of Architectural Acoustic Environment of Anhui Higher Education Institutes, Anhui Jianzhu University, Hefei 230601, ChinaKey Laboratory of Architectural Acoustic Environment of Anhui Higher Education Institutes, Anhui Jianzhu University, Hefei 230601, ChinaKey Laboratory of Architectural Acoustic Environment of Anhui Higher Education Institutes, Anhui Jianzhu University, Hefei 230601, ChinaSound field separation techniques are an advancing tool for extracting a target sound field from a mixed sound field. However, the methods bear a high measurement cost due to the restriction of the sampling theorem. In this study, a sound field separation method based on sparse sampling is established. The method initially utilizes dictionary learning to generate a sparse basis of the sound field. Then, a mixed sound field can be precisely recovered from sparse sampling of sound pressure and the target sound field can be extracted based on the recovered sound field by means of the theory of equivalent source method. The method is validated by numerical simulations. Compared to sound field separation based on the equivalent source method, the proposed method has advantage in terms of both the accuracy and the stability for sparse sampling.http://dx.doi.org/10.1063/5.0202931 |
| spellingShingle | Yuan Liu Yongchang Li Jinyu Zhao Sound field separation based on dictionary learning and sparse sampling AIP Advances |
| title | Sound field separation based on dictionary learning and sparse sampling |
| title_full | Sound field separation based on dictionary learning and sparse sampling |
| title_fullStr | Sound field separation based on dictionary learning and sparse sampling |
| title_full_unstemmed | Sound field separation based on dictionary learning and sparse sampling |
| title_short | Sound field separation based on dictionary learning and sparse sampling |
| title_sort | sound field separation based on dictionary learning and sparse sampling |
| url | http://dx.doi.org/10.1063/5.0202931 |
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