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Approximating bandlimited signals associated with the LCT domain from nonuniform samples at unknown locations

机译:在未知位置从非均匀样本近似估计与LCT域相关的带宽限制信号

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摘要

The sampling theory describes ways of reconstructing signals from their uniform or nonuniform samples associated with the traditional Fourier transform (FT). Most of the published papers about the sampling theory require signals to be bandlimited in the FT domain and assume that the sample locations and the band width are all known. However, the sample locations are not always known and most of the signals are non stationary in practical applications. In order to overcome these shortcomings, this paper provides an algorithm for approximating signals from nonuniform samples at unknown locations. These signals are not necessarily bandlimited in the FT domain, however bandlimited in the LCT domain. The experimental results are given to verify the accuracy of the algorithm.
机译:采样理论描述了从与传统傅立叶变换(FT)相关的均匀或不均匀样本中重建信号的方法。有关采样理论的大多数已发表论文都要求信号在FT域内是带宽受限的,并假定采样位置和带宽都是已知的。但是,采样位置并不总是已知的,并且在实际应用中大多数信号都是不稳定的。为了克服这些缺点,本文提供了一种算法,用于在未知位置近似估计来自非均匀样本的信号。这些信号不一定在FT域中是带宽受限的,而是在LCT域中是带宽受限的。实验结果证明了该算法的准确性。

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