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Multiplexage spatial aléatoire pour l'échantillonnage compressif - application à l'holographie acoustique

Gilles Chardon 1 Nancy Bertin 2 Laurent Daudet 1 
2 METISS - Speech and sound data modeling and processing
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : Application of compressed sensing techniques to nearfield acoustical holography allows a reduction of the numbers of sensors involved, without loss of quality of the reconstruction compared to classical inverse problems methods. However, in experimental setups, the antennas used in this framework are not as convenient as traditionnal ones. We propose here, instead of an random antenna, to mix the channels of a dense regular antenna in a random way, in a reduced number of channels. Numerical results shows that this approach applied to nearfield acoustical holography yields better reconstruction as well as stability compared to the case with equal numbers of sensors and channels.
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Submitted on : Friday, December 2, 2011 - 4:05:52 PM
Last modification on : Sunday, June 26, 2022 - 2:18:31 AM
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  • HAL Id : hal-00647780, version 1

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Gilles Chardon, Nancy Bertin, Laurent Daudet. Multiplexage spatial aléatoire pour l'échantillonnage compressif - application à l'holographie acoustique. XXIIIe Colloque GRETSI, Dec 2011, Bordeaux, France. ⟨hal-00647780⟩

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