Compressively sampling the plenacoustic function

Rémi Mignot; Gilles Chardon; Laurent Daudet

doi:10.1117/12.892761

27 September 2011 Compressively sampling the plenacoustic function

Rémi Mignot, Gilles Chardon, Laurent Daudet

Proceedings Volume 8138, Wavelets and Sparsity XIV; 813808 (2011) https://doi.org/10.1117/12.892761
Event: SPIE Optical Engineering + Applications, 2011, San Diego, California, United States

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.

Citation Download Citation

Rémi Mignot, Gilles Chardon, and Laurent Daudet "Compressively sampling the plenacoustic function", Proc. SPIE 8138, Wavelets and Sparsity XIV, 813808 (27 September 2011); https://doi.org/10.1117/12.892761

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