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On the Uniqueness of the Sparse Signals Reconstruction Based on the Missing Samples Variation Analysis

机译：基于缺失样本变化分析的稀疏信号重建的唯一性

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Ljubiša Stanković; Miloš Daković;
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年度 2015
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1. On the Uniqueness of the Sparse Signals Reconstruction Based on the Missing Samples Variation Analysis [J] . Stankovic Ljubisa, Dakovic Milos Mathematical Problems in Engineering . 2015,第pta25期

机译：基于缺失样本变异分析的稀疏信号重建的唯一性
2. Sparsity-based time-frequency representation of FM signals with burst missing samples [J] . Amin Vaishali S., Zhang Yimin D., Himed Braham Signal processing . 2019,第FEBa期

机译：基于稀疏性的FM信号的时频表示，突发采样丢失
3. Reconstruction of Sparse Signals and Compressively Sampled Images Based on Smooth Approximation [J] . Shah Jawad, Qureshi I. M., Deng Yiming, Journal of signal processing systems for signal, image, and video technology . 2017,第3期

机译：基于平滑逼近的稀疏信号和压缩采样图像的重构
4. The analysis of missing samples in signals sparse in the hermite transform domain [C] . Milos Brajovic, Irena Orovic, Milos Dakovic, Telecommunications Forum . 2015

机译：Hermite变换域中信号稀疏的缺失样本分析
5. Integrated Circuits and Systems for Sparse Signal Acquisition based on Asynchronous Sampling and Compressed Sensing. [D] . Trakimas, Michael. 2011

机译：基于异步采样和压缩传感的稀疏信号采集的集成电路和系统。
6. Accelerated sparsity based reconstruction of compressively sensed multichannel EEG signals [O] . Muhammad Tayyib, Muhammad Amir, Umer Javed, 2020

机译：基于加速的基于稀疏的伤害性传感多通道EEG信号的重建
7. Sparsity-based time-frequency representation of FM signals with burst missing samples [O] . Vaishali S. Amin, Yimin D. Zhang, Braham Himed 2019

机译：基于稀释的稀疏基于爆发样本的FM信号的时频表示

On the Uniqueness of the Sparse Signals Reconstruction Based on the Missing Samples Variation Analysis

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