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Nonuniform sampling theorems for random signals in the offset linear canonical transform domain

机译:偏移线性规范变换域中随机信号的非均匀采样定理

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With the rapid development of the offset linear canonical transform (OLCT) in the fields of optics and signal processing, it is necessary to consider the nonuniform sampling associated with the OLCT. Nowadays, the analysis and applications of the nonuniform sampling for deterministic signals in the OLCT domain have been well published and studied. However, none of the results about the reconstruction of nonuniform sampling for random signals in the OLCT domain have been proposed until now. In this paper, the nonuniform sampling and reconstruction of random signals in the OLCT domain are investigated. Firstly, a brief introduction to the fundamental knowledge of the OLCT and some special nonuniform sampling models are given. Then, the reconstruction theorems for random signals from nonuniform samples in the OLCT domain have been derived for different nonuniform sampling models. Finally, the simulation results are given to verify the accuracy of theoretical results.
机译:随着光学和信号处理领域中偏移线性规范变换(OLCT)的迅速发展,有必要考虑与OLCT相关的非均匀采样。如今,OLCT域中确定性信号非均匀采样的分析和应用已经得到了很好的出版和研究。但是,到目前为止,还没有提出关于在OLCT域中对随机信号进行非均匀采样重建的结果。本文研究了OLCT域中随机信号的非均匀采样和重构。首先,简要介绍了OLCT的基本知识和一些特殊的非均匀采样模型。然后,针对不同的非均匀采样模型,推导了来自OLCT域中非均匀样本的随机信号的重构定理。最后给出了仿真结果,验证了理论结果的正确性。

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