2026-07-072026-07-07http://salesiana.dossiersoluciones.com/handle/123456789/129622A useful sampling-reconstruction model should be stable with respect to different kind of small perturbations, regardless whether they result from jitter, measurement errors, or simply from a small change in the model assumptions. In this paper we prove this result for a large class of sampling models. We define different classes of perturbations and quantify the robustness of a model with respect to them. We also use the theory of localized frames to study the frame algorithm for recovering the original signal from its samples.26 pagesGeneral MathematicsFunctional Analysis42C15text