Visualization of sound field using Schlieren technique provides many advantages. It enables us to investigate the change of the sound field in real-time from every point of the observing region. However, since the density gradient of air caused by the disturbance of acoustic field is very small, it is difficult to observe the audible sound field from the raw Schlieren video. In this paper, to enhance visibility of the audible sound fields from the Schlieren videos, we propose to use spatio-temporal filters for extracting sound information and for noise removal. We have utilized different filtering techniques such as the FIR bandpass filter, the Gaussian filter, the Wiener filter and the 3D Gabor filter, to do this. The results indicate that the data observed after using these signal processing methods are clearer than the raw Schlieren videos.
|ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
|Institute of Electrical and Electronics Engineers Inc.
|Published - 2015 8月 4
|40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Brisbane, Australia
継続期間: 2014 4月 19 → 2014 4月 24
|40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015
|14/4/19 → 14/4/24
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