134 citations · 163 across the 5 of their papers we have counts for
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math.OC2020
Sparse Signal Reconstruction for Nonlinear Models via Piecewise Rational Optimization
Arthur Marmin, Marc Castella, Jean-Christophe Pesquet +1
We propose a method to reconstruct sparse signals degraded by a nonlinear distortion and acquired at a limited sampling rate. Our method formulates the reconstruction problem as a…
math.OC2020
SPOQ -Over- Regularization for Sparse Signal Recovery applied to Mass Spectrometry
Afef Cherni, Emilie Chouzenoux, Laurent Duval +1
Underdetermined or ill-posed inverse problems require additional information for \ldd{d} sound solutions with tractable optimization algorithms. Sparsity yields consequent heuristi…