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Acoustic sources imaging in the sparsity framework
In this work the principle of sparsity-based techniques have been applied to acoustic imaging issues. It includes nearfield acoustic holography (NAH), complex sources... -
Greedy-Like Algorithms for the Cosparse Analysis Model
partially funded by the ERC, PLEASE project, ERC-2011-StG-277906 -
Constrained Overcomplete Analysis Operator Learning for Cosparse Signal Model...
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MCALab: Reproducible Research in Signal and Image Decomposition and Inpainting
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Image decomposition and separation using sparse representations: an overview
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Audio signal representations with overcomplete transforms for coding and inde...
This thesis investigates new signal representations for audio coding. Existing state-of-the-art audio coders are based either on a transform (transform coding), or on... -
Denoising of musical audio using sparse linear regression and structured priors
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Inpainting and zooming using sparse representations
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Single image super-resolution using sparse representations with structure con...
International audience
