Optically visualized sound field reconstruction based on sparse selection of point sound sources

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    17 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Title of host publicationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages504-508
    Number of pages5
    Volume2015-August
    ISBN (Print)9781467369978
    DOIs
    Publication statusPublished - 2015 Aug 4
    Event40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Brisbane, Australia
    Duration: 2014 Apr 192014 Apr 24

    Other

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

    Keywords

    • convex optimization
    • Kirchhoff-Helmholtz integral equation
    • Sound field visualization
    • sparse approximation

    ASJC Scopus subject areas

    • Signal Processing
    • Software
    • Electrical and Electronic Engineering

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  • Cite this

    Yatabe, K., & Oikawa, Y. (2015). Optically visualized sound field reconstruction based on sparse selection of point sound sources. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (Vol. 2015-August, pp. 504-508). [7178020] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2015.7178020