Abstract
Characterizing acoustic fields over space is required in sound field analysis, spatial audio, as well as several applications within room acoustics and virtual reality. In order to measure a sound field over medium/large volumes, a large number of sensors have to be distributed over space. In this study we investigate optimal distributions of sensors for capturing acoustic fields in space. The positions are selected to maximize the sampled information and minimize the uncertainty in the reconstructed field. We show that the proposed optimization substantially reduces the amount of measurements in comparison to uniform or randomized distributions. The proposed optimal selection procedure can also be significant for other data-scarce applications.
Original language | English |
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Title of host publication | Proceedings of the 10th Convention of the European Acoustics Association Forum Acusticum 2023 |
Publisher | European Acoustics Association, EAA |
Publication date | 2023 |
Pages | 1707-1713 |
ISBN (Electronic) | 9788888942674 |
DOIs | |
Publication status | Published - 2023 |
Event | 10th Convention of the European Acoustics Association - Politecnico di Torino, Torino, Italy Duration: 11 Sept 2023 → 15 Sept 2023 https://www.fa2023.org/ |
Conference
Conference | 10th Convention of the European Acoustics Association |
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Location | Politecnico di Torino |
Country/Territory | Italy |
City | Torino |
Period | 11/09/2023 → 15/09/2023 |
Internet address |
Series | Proceedings of Forum Acusticum |
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ISSN | 2221-3767 |
Bibliographical note
Publisher Copyright:© 2023 Samuel A. Verburg et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 Unported License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Keywords
- Optimal sampling
- Sensor selection
- Sound field reconstruction