Time domain reconstruction of spatial sound fields using compressed sensing

Andrew Wabnitz, Nicolas Epain, André Van Schaik, Craig Jin

    Research output: Chapter in Book / Conference PaperConference Paperpeer-review

    22 Citations (Scopus)

    Abstract

    ![CDATA[A novel technique for time domain spatial sound reproduction using compressed sensing is presented. The presented technique is based on the application of compressed sensing theory, which is used to improve the accuracy of the reconstructed sound field. In addition, singular value decomposition is also applied, which acts to significantly reduce the size of the data set to process, thus making it efficient and realisable for real-time applications. Results are presented from the preliminary performance evaluation of the compressed sensing technique in comparison to the Higher Order Ambisonic reconstruction technique.]]
    Original languageEnglish
    Title of host publicationProceedings of the 36th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2011), 22-27 May 2011, Prague, Czech Republic
    PublisherIEEE
    Pages465-468
    Number of pages4
    ISBN (Print)9781457705397
    DOIs
    Publication statusPublished - 2011
    EventICASSP (Conference) -
    Duration: 22 May 2011 → …

    Conference

    ConferenceICASSP (Conference)
    Period22/05/11 → …

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