Visualization of sound field by means of Schlieren method with spatio-temporal filtering

Nachanant Chitanont, Keita Yaginuma, Kohei Yatabe, Yasuhiro Oikawa

    研究成果: Conference contribution

    20 被引用数 (Scopus)

    抄録

    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.

    本文言語English
    ホスト出版物のタイトルICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
    出版社Institute of Electrical and Electronics Engineers Inc.
    ページ509-513
    ページ数5
    2015-August
    ISBN(印刷版)9781467369978
    DOI
    出版ステータスPublished - 2015 8 4
    イベント40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Brisbane, Australia
    継続期間: 2014 4 192014 4 24

    Other

    Other40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015
    CountryAustralia
    CityBrisbane
    Period14/4/1914/4/24

    ASJC Scopus subject areas

    • Signal Processing
    • Software
    • Electrical and Electronic Engineering

    フィンガープリント 「Visualization of sound field by means of Schlieren method with spatio-temporal filtering」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

    引用スタイル