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Proceedings Paper

Compressively sampling the plenacoustic function
Author(s): Rémi Mignot; Gilles Chardon; Laurent Daudet
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Paper Abstract

Directly measuring the full set of acoustic impulse responses within a room would require an unreasonably large number of measurements. Considering that the acoustic wavefield is sparse in some dictionaries, Compressed Sensing allows the recovery of the full wavefield with a reduced set of measurements, but raises challenging computational and memory issues. Two practical algorithms are presented and compared: one that exploits the structured sparsity of the soundfield, with projections of the modes onto plane waves sharing the same wavenumber, and one that computes a sparse decomposition on a dictionary of independent plane waves with time/space variable separation.

Paper Details

Date Published: 27 September 2011
PDF: 10 pages
Proc. SPIE 8138, Wavelets and Sparsity XIV, 813808 (27 September 2011); doi: 10.1117/12.892761
Show Author Affiliations
Rémi Mignot, Institut Langevin, CNRS, Univ. Paris Diderot (France)
Institut Jean Le Rond d'Alembert, CNRS, Univ. Pierre et Marie Curie (France)
Gilles Chardon, Institut Langevin, CNRS, Univ. Paris Diderot (France)
Univ. Pierre et Marie Curie (France)
Laurent Daudet, Institut Langevin, CNRS, Univ. Paris Diderot (France)

Published in SPIE Proceedings Vol. 8138:
Wavelets and Sparsity XIV
Manos Papadakis; Dimitri Van De Ville; Vivek K. Goyal, Editor(s)

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