| 基于子空间的块稀疏信号压缩感知重构算法 |
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| 引用本文： | 付宁,曹离然,彭喜元.基于子空间的块稀疏信号压缩感知重构算法[J].电子学报,2011,39(10):2338-2342. |
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| 作者姓名： | 付宁 曹离然 彭喜元 |
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| 作者单位： | 哈尔滨工业大学自动化测试与控制系,黑龙江哈尔滨,150080 |
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| 摘 要： | 块稀疏信号是一种典型的具有特殊结构的稀疏信号,在压缩感知问题中,针对块稀疏信号的特点,提出了一种基于子空间的块稀疏信号压缩感知重构算法.该算法每次迭代找到整个信号支撑块的估计,包含正确信号支撑块所在空间的一个子空间,然后计算残差,并在下一次迭代时,通过回溯思想和最小均方准则修正更新上一次找到的信号支撑块,最后直到残差为...
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| 关 键 词： | 压缩感知 块稀疏 子空间 重构概率 |
| 收稿时间： | 2010-12-27 |
Compressed Sensing of Block-Sparse Signals Recovery Based on Subspace |
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| FU Ning,CAO Li-ran,PENG Xi-yuan.Compressed Sensing of Block-Sparse Signals Recovery Based on Subspace[J].Acta Electronica Sinica,2011,39(10):2338-2342. |
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| Authors: | FU Ning CAO Li-ran PENG Xi-yuan |
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| Affiliation: | FU Ning,CAO Li-ran,PENG Xi-yuan(Department of Automatic Test and Control,Harbin Institute of Technology,Harbin,Heilongjiang 150080,China) |
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| Abstract: | Block-sparse signal is a typical sparse signal.As to the feature of block-sparse signal for compressed sensing,a subspace matching pursuit algorithm for block-sparse signals recovery has been proposed in this paper.The algorithm determines an estimate of the correct support set during each iteration,which includes a subspace of the correct support set,then calculates the residual,additionally,the estimate support set will be refined at next iteration using the backtracking and least mean square criterion.Th... |
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| Keywords: | compressed sensing block-sparse subspace recovery probability |
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