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Compressively sampling the plenacoustic function

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.
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Contributor : Rémi Gribonval Connect in order to contact the contributor
Submitted on : Wednesday, December 19, 2012 - 11:49:07 AM
Last modification on : Wednesday, October 26, 2022 - 4:07:40 PM



R. Mignot, G. Chardon, L. Daudet. Compressively sampling the plenacoustic function. Proceedings of SPIE Conference - Wavelets and Sparsity XIV, 2011, San Diego, United States. ⟨10.1117/12.892761⟩. ⟨hal-00766959⟩



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