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Visualization of acoustic waves in air and subsequent audio recovery with a high-speed schlieren imaging system: Experimental and computational development of a schlieren microphone

机译:使用高速schlieren成像系统可视化空气中的声波并随后恢复音频:schlieren麦克风的实验和计算开发

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We present a high-speed single-mirror double-pass coincident schlieren system and corresponding algorithms for the visualization of acoustic waves and recovery of their associated audio signals. Schlieren systems are extensively used to visualize strong shockwaves, such as those from supersonic motion or explosions. Recently, they have also been used to visualize lower amplitude non-linear acoustic phenomena, such as the weak shockwaves arising from impact events including hand claps, belt snaps, and towel cracks. Time-invariant sounds produced by loudspeakers have also been imaged, in one case leading to frequency analysis, although these have been limited to high-frequency signals at very high sound pressure levels. The research presented here shifts the focus from sound-field visualization towards audio signal recovery. A comprehensive exploration of several parameters for imaging sound sources, including frequency, wave form, and amplitude, is presented. In addition, we address for the first time the recovery of phase information, which would be essential for speech intelligibility, and the more general case of non-contact sound field reconstruction. Through image and signal processing, it is shown that audio signals can be recovered from high-speed schlieren video whose acoustic waves appear to be below the limit of visibility, and were previously deemed unrecoverable by virtue of their frequency and sound pressure level. This includes sounds at frequencies and loudnesses relevant for human hearing, producing the first 'schlieren microphone'. (C) 2018 Published by Elsevier Ltd.
机译:我们为声波的可视化及其相关的音频信号的恢复提供了一个高速单镜双通重合schlieren系统和相应的算法。 Schlieren系统广泛用于可视化强烈的冲击波,例如超音速运动或爆炸产生的冲击波。最近,它们还被用于可视化低振幅的非线性声学现象,例如由包括拍手,皮带扣和毛巾裂缝在内的冲击事件引起的微弱冲击波。扬声器产生的随时间变化的声音也已成像,在一种情况下会导致频率分析,尽管这些声音仅限于处于很高声压级的高频信号。此处提出的研究将重点从声场可视化转向音频信号恢复。提出了对声源成像的几个参数的全面探索,包括频率,波形和振幅。此外,我们首次讨论了相位信息的恢复,这对于语音清晰度和非接触声场重建的更一般情况而言必不可少。通过图像和信号处理,表明可以从声波似乎低于可见度极限的高速schlieren视频中恢复音频信号,并且由于其频率和声压级,以前被认为是不可恢复的。这包括与人类听力相关的频率和响度的声音,从而产生了第一个“ schlieren麦克风”。 (C)2018由Elsevier Ltd.发布

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