502 citations · 1.6k across the 27 of their papers we have counts for
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math.NA2009
Practical error estimates for sparse recovery in linear inverse problems
Ignace Loris, Caroline Verhoeven
The effectiveness of using model sparsity as a priori information when solving linear inverse problems is studied. We investigate the reconstruction quality of such a method in the…
math.NA2009★ 70 cited
Accelerating gradient projection methods for -constrained signal recovery by steplength selection rules
I. Loris, M. Bertero, C. De Mol +2
We propose a new gradient projection algorithm that compares favorably with the fastest algorithms available to date for -constrained sparse recovery from noisy data, both…