...感知(Compressed Sensing, CS)通过发掘信号的稀疏性,巧妙地将其采样与压缩历程结合为一个整体,实现了基于亚奈奎斯特(sub-Nyquist)采样率的信号信息采集,成为信号处理领域的一大突破。
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MUSE multiple sub-Nyquist sompling encoding 多重奈奎斯特取样编码
sub-Nyquist sampling 奎斯特采样 ; 欠采样
sub nyquist model 亚奈模型
multiple sub nyquist sampled 多重亚取样
MUltiple sub-Nyquist Sampling Encoding 取样编码
sub Nyquist spatio temporal sampling 时空欠采样
phase alternating sub-Nyquist sampling 相位交变亚奈奎斯特取样
The problem of parameter estimation and array calibration with sub-Nyquist sampling is studied in this doctoral dissertation.
论文主要研究时间（频率）、空间欠采样条件下的参数估计与阵列校正方法。
Based on an auxiliary time-delay channel and ESPRIT approach, a new algorithm for wide band frequency estimation with sub-Nyquist sampling was proposed.
为了克服现有的欠采样频率估计方法存在的算法复杂、工程实现困难等问题，本文提出了一种基于虚拟仪器的三采样率切换的频率估计方法。
The frequency aliasing due to sub-Nyquist sampling can be resolved by the proposed frequency aliasing resolving algorithm and information from the time-delay channel.
文中，欠采样所引入的频率模糊由增加的延迟通道提供的信息加以消除，并提出了相应的频率解模糊算法。
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