Near-field acoustic imaging based on Laplacian sparsity

Efren Fernandez Grande, Laurent Daudet

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


    We present a sound source identification method for near-field acoustic imaging of extended sources. The methodology is based on a wave superposition method (or equivalent source method) that promotes solutions with sparse higher order spatial derivatives. Instead of promoting direct sparsity, as in standard compressive sensing or basis pursuit approaches, solutions with a piecewise constant gradient or curvature are promoted, suitable for modeling extended sources that are subject to smooth spatial variations. The obtained results are compared to Least Squares and Compressive Sensing solutions, and the validity of the wave extrapolation used for the reconstruction is examined. It is shown that this methodology can overcome conventional limits of spatial sampling, and is therefore valid for wide-band acoustic imaging of extended sources.
    Original languageEnglish
    Title of host publicationProceedings of the 22nd International Congress on Acoustics
    Number of pages9
    Publication date2016
    ISBN (Print)978-1-5108-3173-5
    Publication statusPublished - 2016
    Event22nd International Congress on Acoustics : Acoustics for the 21st century - Catholic University of Argentina, Buenos Aires, Argentina
    Duration: 5 Sept 20169 Sept 2016


    Conference22nd International Congress on Acoustics
    LocationCatholic University of Argentina
    CityBuenos Aires
    Internet address


    • Sound radiation
    • Acoustic array processing
    • Near-Field Acoustic Holography
    • Compressive sensing


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