首页> 外文会议>SPIE Defense + Commercial Sensing Conference;Society of Photo-Optical Instrumentation Engineers >Extracting sound from ow measured by parallel phase-shifting interferometry using spatio-temporal lter
【24h】

Extracting sound from ow measured by parallel phase-shifting interferometry using spatio-temporal lter

机译:从中提取声音时空滤波器通过平行相移干涉术测量的流量

获取原文

摘要

We have proposed a method of simultaneously measuring aerodynamic sound and uid ow using parallel phase-shifting interferometry (PPSI). PPSI can observe phase of light instantaneously and quantitatively. This methodis useful for understanding the aerodynamic sound because PPSI can measure near the source of the aerodynamicsound. However, the components of sound and ow should be separated in order to observe detail near thesource of sound inside a region of ow. Therefore, we consider a separation of the component of sound fromsimultaneously visualized images of sound and ow. In previous research, a spatio-temporal lter was used toextract a component satisfying the wave equation. The ow and the sound are dierent physical phenomena,and the ow cannot be expressed by the wave equation. Hence, we think that the spatio-temporal lter enablesus to separate the component of sound from the simultaneously visualized images. In this paper, we propose amethod for separation of ow and sound using spatio-temporal lter in order to visualize the component of theaerodynamic sound near its source. We conducted an experiment of the separation of data measured by PPSI.The results show that the spatio-temporal lter can extract the sound from air-ow except for the sound nearobjects and boundaries.
机译:我们提出了一种同时测量空气动力声和 uid 使用并联相位 位移干涉仪(PPSI)。 PPSI可以即时且定量地观察光的相位。这个方法 对于理解空气动力声音很有用,因为PPSI可以在空气动力源附近进行测量 声音。但是,声音和 ow应该分开以便观察附近的细节 区域内的声音来源 哇因此,我们考虑将声音的成分与 同时可视化声音和声音图像 哇在先前的研究中,时空滤波器被用于 提取满足波动方程的分量。这 声音和声音是不同的物理现象, 和 ow不能用波动方程表示。因此,我们认为时空滤波器可以 我们从同时可视化的图像中分离出声音的组成部分。在本文中,我们提出了一个 分离方法 流和声音使用时空滤波器,以便可视化 空气动力声源附近。我们进行了通过PPSI测量数据分离的实验。 结果表明,时空滤波器可以从空气中提取声音。 哇,除了附近的声音 对象和边界。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号