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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Communication dans un congrès
Proceedings of SPIE Conference - Wavelets and Sparsity XIV, 2011, San Diego, United States. 3138, 2011, 〈10.1117/12.892761〉
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https://hal.inria.fr/hal-00766959
Contributeur : Rémi Gribonval <>
Soumis le : mercredi 19 décembre 2012 - 11:49:07
Dernière modification le : jeudi 11 janvier 2018 - 06:23:18

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R. Mignot, G. Chardon, L. Daudet. Compressively sampling the plenacoustic function. Proceedings of SPIE Conference - Wavelets and Sparsity XIV, 2011, San Diego, United States. 3138, 2011, 〈10.1117/12.892761〉. 〈hal-00766959〉

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