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José Picheral

7
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nicolas-gac
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A hierarchical variational Bayesian approximation approach in acoustic imaging

Ning Chu , Ali Mohammad-Djafari , Nicolas Gac , José Picheral
34th International Workshop on Bayesian Inference and Maximun Entropy Methods in Science and Engineering (MaxEnt'14), Sep 2014, Amboise, France. pp.572 - 579, ⟨10.1063/1.4906024⟩
Communication dans un congrès hal-01103784v1
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Aero-acoustics source separation with sparsity inducing priors in the frequency domain

Olivier Schwander , José Picheral , Nicolas Gac , Ali-Mohammad Djafari , Daniel Blacodon
34th International Workshop on Bayesian Inference and Maximun Entropy Methods in Science and Engineering (MaxEnt'14), Sep 2014, Amboise, France. pp.422 - 431, ⟨10.1063/1.4906006⟩
Communication dans un congrès hal-01103779v1
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2D convolution model using (in)variant kernels for fast acoustic imaging

Ning Chu , Nicolas Gac , José Picheral , Ali Mohammad-Djafari
5 th Berlin Beamforming Conference 2014, Feb 2014, Berlin, Germany. 15 p
Communication dans un congrès hal-01083451v1
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A variational Bayesian approximation approach via a sparsity enforcing prior in acoustic imaging

Ning Chu , Ali Mohammad-Djafari , Nicolas Gac , José Picheral
WIO 2014, Jul 2014, Neuchâtel, Switzerland. pp.1 - 4, ⟨10.1109/WIO.2014.6933297⟩
Communication dans un congrès hal-01103751v1
Image document

Convolution Models with Shift-invariant kernel based on Matlab-GPU platform for Fast Acoustic Imaging

Ning Chu , Nicolas Gac , José Picheral , Ali Mohammad-Djafari
ISAV 2014, Dec 2014, Tehran, Iran
Communication dans un congrès hal-01103819v1
Image document

An efficient variational Bayesian inference approach via Studient's-t priors for acoustic imaging in colored noises

Ning Chu , Ali Mohammad-Djafari , José Picheral , Nicolas Gac
POMA - ICA 2013, Jun 2013, Montreal, Canada. 055031 (9p.)
Communication dans un congrès hal-00865786v2