| 基于一种改进的压缩感知重构算法的分析与比较 |
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| 引用本文： | 刘盾.基于一种改进的压缩感知重构算法的分析与比较[J].科学技术与工程,2012,12(21):5154-5157. |
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| 作者姓名： | 刘盾 |
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| 作者单位： | 天津职业技术师范大学电子工程学院,天津,300222 |
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| 摘 要： | 主要结合稀疏自适应匹配追踪算法和梯度追踪算法的各自优点,在该两种算法的基础上提出了一种新的信号重构算法,并通过实验仿真分析了新算法在信号重构过程中的优越性。
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| 关 键 词： | 压缩感知 重构算法 正交匹配 压缩采样 |
| 收稿时间： | 4/14/2012 7:49:33 PM |
| 修稿时间： | 4/14/2012 7:49:33 PM |
The Analysis And Comparison Of An Improved Reconstruction Algorithm Based On Compressed Sensing |
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| Liu Dun.The Analysis And Comparison Of An Improved Reconstruction Algorithm Based On Compressed Sensing[J].Science Technology and Engineering,2012,12(21):5154-5157. |
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| Authors: | Liu Dun |
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| Institution: | (Department of Electrical Engineering Tianjin University of Technology and Education(TUTE),Tianjin 300222,P.R.China) |
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| Abstract: | Compressed sensing theory, based on a sparseness in specific domains or can be converted into the sparseness of the signal, by implementing far below the Nyquist sampling rate of random sampling, can accurately completing the original signal reconstruction. This paper combines the respective advantages of the sparse adaptive matching pursuit algorithm (SAMP) and the gradient pursuit algorithm (GP), on the basis of which a new signal reconstruction algorithm is proposed, and the simulation analyze the superiority of the new algorithm in the signal reconstruction process. |
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| Keywords: | compressed sensing reconstructed algorithm orthogonal matching compressive sampling |
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