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Multichannel deconvolution and source detection using sparse representations ...
This thesis presents new methods for spherical Poisson data analysis for the Fermi mission. Fermi main scientifical objectives, the study of diffuse galactic background... -
A memory gradient algorithm for l2-l0 regularization with applications to ima...
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Dictionary Learning with Large Step Gradient Descent for Sparse Representations
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The Cosparse Analysis Model and Algorithms
Preprint available on arXiv since 24 Jun 2011 -
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...
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