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Tractography via the Ensemble Average Propagator in diffusion MRI
International audience -
Parametric dictionary learning for modeling EAP and ODF in diffusion MRI
International audience -
Blind Spectrum Detector for Cognitive Radio Using Compressed Sensing and Symm...
International audience -
On the Use of the Sparse Property of the Cyclic Autocorrelation Function to B...
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VARIANTES SUR UN THÉORÈME DE CANDÈS, ROMBERG ET TAO
A paraître aux Annales de l'Institut Fourier en 2013 -
Hidden cliques and the certification of the restricted isometry property
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Plate impulse response spatial interpolation with sub-Nyquist sampling
International audience -
Compressively sampling the plenacoustic function
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Efficiently Decodable Compressed Sensing by List-Recoverable Codes and Recursion
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Compressible Distributions for High-dimensional Statistics
Was previously entitled "Compressible priors for high-dimensional statistics" -
The Cosparse Analysis Model and Algorithms
Preprint available on arXiv since 24 Jun 2011 -
JOINT TRACE/TV NORM MINIMIZATION: A NEW EFFICIENT APPROACH FOR SPECTRAL COMPR...
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HYPERSPECTRAL IMAGE COMPRESSED SENSING VIA LOW-RANK AND JOINT-SPARSE MATRIX R...
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Rank Awareness in Joint Sparse Recovery
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Greedy-Like Algorithms for the Cosparse Analysis Model
partially funded by the ERC, PLEASE project, ERC-2011-StG-277906 -
Embedding prior knowledge in the reconstruction of sparse signals : Special c...
The work of this thesis concerns the proposal of algorithms for the integration of prior knowledge in the reconstruction of sparse signals. The purpose is mainly to... -
Traitement des signaux parcimonieux et applications
Whatever the field of application, optimizing the results and sometimes even solving problems requires taking advantage of the whole prior information. In this... -
Compressed sensing based non-sample spaced sparse channel estimation in OFDM ...
International audience -
Dequantizing compressed sensing: When oversampling and non-gaussian constrain...
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Sparse reconstruction techniques for near-field underwater acoustic imaging
International audience
