Recovery of nonlinearly degraded sparse signals through rational optimization
Résumé
We show the benefit which can be drawn from recent global rational optimization methods for the minimization of a regularized criterion. The regularization term is a rational Geman-MacClure like potential, approximating the ℓ0 norm and the fit term is a least-squares criterion suited to a wide class of nonlinear degradation models
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