Irregular sampling in shift invariant spaces of higher dimensions

被引:7
|
作者
Ericsson, Stefan [1 ]
机构
[1] Lulea Univ Technol, Dept Math, SE-97187 Lulea, Sweden
关键词
irregular sampling; shift invariant space; reproducing kernel;
D O I
10.1142/S0219691308002264
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
We consider irregular sampling in shift invariant spaces V of higher dimensions. The problem that we address is: find epsilon so that given perturbations (lambda(k)) satisfying sup vertical bar lambda(k)vertical bar < epsilon, we can reconstruct an arbitrary function f of V as a Riesz basis expansions from its irregular sample values f(k+lambda(k)). A framework for dealing with this problem is outlined and in which one can explicitly calculate sufficient limits epsilon for the reconstruction. We show how it works in two concrete situations.
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页码:121 / 136
页数:16
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