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11 Sparse Signals Recovery from Noisy Measurements by Orthogonal Matching Pursuit ∗†

机译：11通过正交匹配追踪从噪声测量中恢复稀疏信号*†

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Yi Shen; Song Li;
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1. SPARSE SIGNALS RECOVERY FROM NOISY MEASUREMENTS BY ORTHOGONAL MATCHING PURSUIT [J] . Shen Yi, Li Song Inverse problems and imaging . 2015,第1期

机译：通过正交匹配从噪声测量中恢复稀疏信号
2. Thresholded Basis Pursuit: LP Algorithm for Order-Wise Optimal Support Recovery for Sparse and Approximately Sparse Signals From Noisy Random Measurements [J] . Saligrama V.Zhao M. Information Theory, IEEE Transactions on . 2011,第3期

机译：阈值基础追踪：LP算法，用于从嘈杂的随机测量中对稀疏和近似稀疏的信号进行阶次最优支持恢复
3. Exact support recovery via orthogonal matching pursuit from noisy measurements [J] . Wei Dan, Yu Fu Electronics Letters . 2016,第17期

机译：通过从噪声测量中进行正交匹配追踪来精确恢复支持
4. Compressive sensing of block-sparse signals recovery based on sparsity adaptive regularized orthogonal matching pursuit algorithm [C] . Zhao Qiang, Wang Jinkuan, Han Yinghua, 2012 IEEE Fifth International Conference on Advanced Computational Intelligence. . 2012

机译：基于稀疏自适应正则正交匹配追踪算法的块稀疏信号恢复压缩感知
5. Joint Recovery of High-Dimensional Signals From Noisy and Under-Sampled Measurements Using Fusion Penalties [D] . Poddar, Sunrita 2018

机译：使用融合惩罚从噪声和采样不足的测量中联合恢复高维信号
6. Inferring sparse representations of continuous signals with continuous orthogonal matching pursuit [O] . Karin C. Knudson, Jacob L. Yates, Alexander C. Huk, -1

机译：用连续正交匹配追踪推断连续信号的稀疏表示
7. Thresholded Basis Pursuit: An LP Algorithm for Achieving Optimal Support Recovery for Sparse and Approximately Sparse Signals from Noisy Random Measurements [O] . Saligrama, V., Zhao, M. 2010

机译：阈值基础追踪：一种实现最优支持的Lp算法从噪声随机数中恢复稀疏和近似稀疏信号测量

11 Sparse Signals Recovery from Noisy Measurements by Orthogonal Matching Pursuit ∗†

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