On stability of sampling-reconstruction models

被引:15
作者
Acosta-Reyes, Ernesto [1 ]
Aldroubi, Akram [1 ]
Krishtal, Ilya [2 ]
机构
[1] Vanderbilt Univ, Dept Math, Nashville, TN 37240 USA
[2] No Illinois Univ, Dept Math Sci, De Kalb, IL 60115 USA
基金
美国国家科学基金会;
关键词
Irregular sampling; Non-uniform sampling; Sampling; Reconstruction; Jitter; Measurement error; Model error; SHIFT-INVARIANT SPACES; LANDAU-TYPE THEOREMS; GABOR FRAMES; SUBSPACES;
D O I
10.1007/s10444-008-9083-6
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
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 present a way of quantifying the robustness of a model with respect to them. We also use the theory of localized frames to study the dual frame method for recovering the original signal from its samples.
引用
收藏
页码:5 / 34
页数:30
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