On Stability of Sampling-Reconstruction Models
General Mathematics
2007-05-31 v1 Functional Analysis
Abstract
A 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.
Cite
@article{arxiv.0705.4309,
title = {On Stability of Sampling-Reconstruction Models},
author = {E. costa-Reyes and A. Aldroubi and I. Krishtal},
journal= {arXiv preprint arXiv:0705.4309},
year = {2007}
}