Abstract: This paper investigates non-uniform guarantees of \(ell_1\) minimization, subject to an \(ell_infty\) data fidelity constraint, to stably recover the support of a sparse vector when solving noisy linear inverse problems.
2016
“Proceedings of the third international Traveling Workshop on Interactions between Sparse models and Technology (iTWIST'16), arXiv:1609.04167”