Sparse matrices;Complexity theory;Inverse problems;Signal processing algorithms;Transforms;Approximation algorithms;Europe;Inverse problems;Deconvolution;Matrix factorization;Fast algorithms;Brain source localization

FAμST: Speeding up linear transforms for tractable inverse problems
In this paper, we propose a technique to factorize any matrix into multiple sparse factors. The resulting factorization, called …
Luc Le Magoarou, Rémi Gribonval, Alexandre Gramfort
Cite DOI Researchgate