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Reconstruction of irregularly sampled discrete-time bandlimited signals with unknown sampling locations

机译:用未知采样位置重建不规则采样的离散时间带限信号

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摘要

The purpose of this paper is to develop methods that can reconstruct a bandlimited discrete-time signal from an irreg- ular set of samples at unknown locations. We define a solution to the problem using first a geometric and then an algebraic point of view. We find the locations of the irregular set of samples by treating the problem as a combinatorial optimization problem. We employ an exhaustive method and two descent methods: the random search and cyclic coordinate methods. The numerical simulations were made on three types of irregular sets of locations: random sets; sets with jitter around a uniform set; and periodic nonuniform sets. Furthermore, for the periodic nonuniform set of locations, we de- velop a fast scheme that reduces the computational complexity of the problem by exploiting the periodic nonuniform structure of the sample locations in the DFT.
机译:本文的目的是开发一种方法,该方法可以从未知位置的不规则样本集中重建带宽受限的离散时间信号。我们首先使用几何观点,然后使用代数观点定义问题的解决方案。通过将问题视为组合优化问题,我们找到了样本不规则集合的位置。我们采用穷举法和两种下降法:随机搜索法和循环坐标法。数值模拟是针对三种类型的不规则位置集进行的:随机集;围绕均匀设置抖动和周期非均匀集此外,对于周期性的位置不均匀集合,我们开发了一种快速方案,通过利用DFT中样本位置的周期性不均匀结构来降低问题的计算复杂性。

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