| Acoustical Science and Technology | |
| GPU-based real-time beamforming for large arrays of optical wireless acoustic sensors | |
| Hoang Duy Nguyen1  Gabriel Pablo Nava1  Yoshifumi Shiraki1  Yutaka Kamamoto1  Takehiro Moriya1  Takashi G. Sato1  Yusuke Hioka2  | |
| [1] NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation;Department of Mechanical Engineering, University of Auckland | |
| 关键词: Optical wireless sensors; Broadband beamforming; GPU computing; | |
| DOI : 10.1250/ast.36.489 | |
| 学科分类:声学和超声波 | |
| 来源: Acoustical Society of Japan | |
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【 摘 要 】
References(21)Recent optical wireless acoustic sensors have demonstrated the possibility to simultaneously sense massive numbers of audio channels in real time. Although this technology has enabled the deployment of large-scale applications, it raises new challenges from the computational perspective. In this regard, Graphics Processing Units provide significant parallel computational power. However, not all the existent algorithms are GPU-implementable in a straightforward way. This paper discusses signal processing schemes and implementation strategies to achieve real-time broadband beamforming using a single GPU card. The experiments introduced here, show our prototype implementation handling over 120 audio channels in real time. The experimental results further highlight the particular advantages of using a video camera-based approach to improve the beamforming performance.
【 授权许可】
Unknown
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO201912080715979ZK.pdf | 1579KB |
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