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Reconstruction algorithm in lattice-invariant signal spaces

机译:晶格不变信号空间中的重构算法

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摘要

In this paper, we mainly pay attention to the weighted sampling and reconstruction algorithm in lattice-invariant signal spaces. We give the reconstruction formula in lattice-invariant signal spaces, which is a generalization of former results in shift-invariant signal spaces. That is, we generalize and improve Aldroubi, Grochenig and Chen's results, respectively. So we obtain a general reconstruction algorithm in lattice-invariant signal spaces, which the signal spaces is sufficiently large to accommodate a large number of possible models. They are maybe useful for signal processing and communication theory.
机译:在本文中,我们主要关注晶格不变信号空间中的加权采样和重构算法。我们给出了不变格信号空间中的重建公式,它是不变不变信号空间中以前结果的推广。也就是说,我们分别推广和改进了Aldroubi,Grochenig和Chen的结果。因此,我们在晶格不变的信号空间中获得了一种通用的重建算法,该信号空间足够大以容纳大量可能的模型。它们可能对信号处理和通信理论很有用。

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