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    A method for multi-source localization in real time using spherical harmonic decomposition

    Author
    Mathews, Jonathan B.
    View/Open
    177557_Mathews_rpi_0185N_10942.pdf (10.19Mb)
    Other Contributors
    Braasch, Jonas; Xiang, Ning; Krueger, Ted (Theodore Edward), 1954-;
    Date Issued
    2016-08
    Subject
    Architectural sciences
    Degree
    MS;
    Terms of Use
    This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.;
    Metadata
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    URI
    https://hdl.handle.net/20.500.13015/1777
    Abstract
    By taking advantage of the spherical harmonic transform, spherical microphone arrays are able to decompose three-dimensional sound fields into their basic components, which enables detailed analysis and efficient spatial filtering algorithms. In recent years, methods for determining relative source positions around an array have been studied. Weighting functions can be generated to create a steerable beam which attenuates a sound field except in a specific direction. This research describes a real-time framework for multiple-source detection, which can be implemented using these methods. By finding the energy-sum distribution across a matrix of weighted harmonic signals, directional information may be simultaneously and efficiently obtained for multiple sources over time.;
    Description
    August 2016; School of Architecture
    Department
    School of Architecture;
    Publisher
    Rensselaer Polytechnic Institute, Troy, NY
    Relationships
    Rensselaer Theses and Dissertations Online Collection;
    Access
    Restricted to current Rensselaer faculty, staff and students. Access inquiries may be directed to the Rensselaer Libraries.;
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