基于点声源稀疏选择的光学可视化声场重建

K. Yatabe, Yasuhiro Oikawa
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引用次数: 11

摘要

可视化是理解声场行为的有效方法。这种观测有几种方法,包括光学测量技术,通过检测介质的密度变化来实现非破坏性声学观测。然而,对于在空气中传播的可听到的声音,微小的变化要求测量系统的高灵敏度,这会导致有问题的噪声污染。本文提出了一种利用噪声光学观测重建二维可听声场的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optically visualized sound field reconstruction based on sparse selection of point sound sources
Visualization is an effective way to understand the behavior of a sound field. There are several methods for such observation including optical measurement technique which enables a non-destructive acoustical observation by detecting density variation of the medium. For audible sound propagating through the air, however, smallness of the variation requires high sensitivity of the measuring system that causes problematic noise contamination. In this paper, a method for reconstructing two-dimensional audible sound fields from noisy optical observation is proposed.
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