频谱互质重排亚奈奎斯特率采样方法

发布时间：2018-03-11 20:44

本文选题：频域稀疏信号　切入点：亚奈奎斯特率采样　出处：《电子学报》2017年10期 　论文类型：期刊论文

【摘要】：本文提出了一种基于频谱互质重排的超低速率信号采样方法.该方法将稀疏傅里叶变换从离散时间域拓展到连续时间域,首先通过互质结构傅里叶展开采样对频域稀疏信号的频谱分量进行重排和压缩,然后通过基于中国余数定理的亚线性算法对信号进行了重构.实验结果表明,本文所提的采样方法可进一步降低频域稀疏信号的采样速率.
[Abstract]:An ultra-low rate signal sampling method based on spectrum mutuality rearrangement is proposed in this paper, which extends sparse Fourier transform from discrete time domain to continuous time domain. The spectral components of the sparse signal in frequency domain are rearranged and compressed by Fourier expansion sampling with intertextural structure, and then the signal is reconstructed by a sublinear algorithm based on the Chinese remainder theorem. The experimental results show that, The sampling method proposed in this paper can further reduce the sampling rate of frequency-domain sparse signals.
【作者单位】：福州大学物理与信息工程学院;
【基金】：福州市科技局科技计划(No.2013-G-85) 福建省教育厅(一般项目)(No.JA13039)
【分类号】：TN911.7

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