34 citations · 34 across the 2 of their papers we have counts for
2 papers
eess.SP2026
Cadzow Projected Gradient Descent for Generalized Finite Rate of Innovation: A Quantitative Local Convergence Theory
Adrien Besson
The generalized finite rate of innovation~(GenFRI) framework aims at reconstructing finite-rate-of-innovation~(FRI) signals measured through a noisy linear measurement model. GenFR…
math.OC2020★ 34 cited
CPGD: Cadzow Plug-and-Play Gradient Descent for Generalised FRI
Matthieu Simeoni, Adrien Besson, Paul Hurley +1
Finite rate of innovation (FRI) is a powerful reconstruction framework enabling the recovery of sparse Dirac streams from uniform low-pass filtered samples. An extension of this fr…