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Local sampling and reconstruction in shift-invariant spaces and their applications in spline subspaces

机译:不变位移空间中的局部采样和重构及其在样条子空间中的应用

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摘要

The local reconstruction from samples is one of the most desirable properties for many applications in signal processing. Local sampling is practically useful since we need only to consider a signal on a bounded interval and computer can only process finite samples. However, the local sampling and reconstruction problem has not been given as much attention. Most of known results concern global sampling and reconstruction. There are only a few results about local sampling and reconstruction in spline subspaces. In this article, we study local sampling and reconstruction in general shift-invariant spaces and multiple generated shift-invariant spaces with compactly supported generators. Then we give several applications in spline subspaces and multiple generated spline subspaces.
机译:对于许多信号处理应用而言,从样本进行局部重建是最理想的属性之一。本地采样实际上很有用,因为我们只需要考虑一个有界间隔的信号,而计算机只能处理有限的采样。但是,本地采样和重建问题并未得到足够的重视。大多数已知结果都与整体采样和重建有关。关于样条子空间中的局部采样和重构只有很少的结果。在本文中,我们将研究在紧致生成器的情况下,在一般不变位移空间和多个产生的不变位移空间中的局部采样和重构。然后,我们在样条子空间和多个生成的样条子空间中给出了几个应用程序。

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