2022
Fast Learning of Fast Transforms, with Guarantees
ICASSP 2022accepted
Approximating a matrix by a product of few sparse factors whose supports possess the butterfly structure, which is common to many fast transforms, is key to learn fast transforms and speed up algorithms for inverse problems. We introduce a hierarchical approach that recursively factorizes the consid…