J. Lanslots, F. Deblauwe, and K. Janssens, Selecting Sound Source Localization Techniques for Industrial Applications, pp.6-10, 2010.

J. Antoni, A Bayesian approach to sound source reconstruction: Optimal basis, regularization, and focusing, The Journal of the Acoustical Society of America, vol.131, issue.4, pp.2873-2890, 2012.
DOI : 10.1121/1.3685484

URL : https://hal.archives-ouvertes.fr/hal-00776324

J. Chen, K. Yao, and R. Hudson, Source localization and beamforming, Signal Processing Magazine, IEEE, vol.19, issue.2, pp.30-39, 2002.

T. Brooks and W. Humphreys, A Deconvolution Approach for the Mapping of Acoustic Sources (DAMAS) determined from phased microphone arrays, Journal of Sound and Vibration, vol.294, pp.4-5, 2006.

R. Dougherty, Extensions of DAMAS and Benefits and Limitations of Deconvolution in Beamforming, 11th AIAA/CEAS Aeroacoustics Conference, pp.23-25, 2005.
DOI : 10.2514/6.2005-2961

N. Chu, A. Mohammad-djafari, and J. , Robust Bayesian super-resolution approach via sparsity enforcing a priori for near-field aeroacoustic source imaging, Journal of Sound and Vibration, vol.332, issue.18, pp.4369-4389, 2013.
DOI : 10.1016/j.jsv.2013.02.037

URL : https://hal.archives-ouvertes.fr/hal-00794230

N. Chu, N. Gac, A. Mohammad-djafari, and J. , Picheral, 2d convolution model using (in)variant kernels for fast acoustic imaging, Berlin Beamforming Conference 2014 (BeBeC2014), 2014.

P. Perona, Deformable kernels for early vision, Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.17, issue.5, pp.488-499, 1995.

R. Fernando, GPU gems: programming techniques, tips, and tricks for real-time graphics, 2004.

J. Nickolls, I. Buck, M. Garland, and K. Skadron, Scalable parallel programming with cuda, pp.40-53, 2008.

A. Menoret, N. Gorilliot, and J. Adam, Acoustic imaging in wind tunnel S2A, 10th Acoustics conference (ACOUSTICS2010), 2010.