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SMALL: Sparse Models & Algorithms for Large-Scale Learning

Dates : February 2009-July 2012

Funded : EU FP7 FET-open

Website :


Audio Inpainting : a framework to restore corrupted data

 SMALL explored adaptive sparse structured representations for signal processing. Among the outcome of the project we can identify :
-the SMALLbox, a MATLAB toolbox to evaluate state-of-the art sparse decompostion algorithms ;
Cosparsity, a new way to assess sparse representation based on an analysis approach ;
Audio Inpainting, a general framework to restore audio data;

and many more …