偏置线性正则变换域中随机信号的非均匀采样定理

Y. Bao, Yan-Na Zhang, Yu-E. Song, Bingzhao Li, P. Dang
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引用次数: 3

摘要

随着偏移线性正则变换(OLCT)在光学和信号处理领域的迅速发展,必须考虑与OLCT相关的非均匀采样问题。目前,对确定性信号在OLCT域的非均匀采样的分析和应用已经有了很好的研究。然而,对于随机信号在OLCT域中的非均匀采样重建,目前还没有相关的研究成果。研究了随机信号在OLCT域中的非均匀采样和重构问题。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,导出了OLCT域中非均匀采样随机信号的重构定理。最后给出了仿真结果,验证了理论结果的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Nonuniform sampling theorems for random signals in the offset linear canonical transform domain
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.
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