| 频域单源区间和欠定的盲信号分离 |
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| 引用本文： | 康浔,肖明. 频域单源区间和欠定的盲信号分离[J]. 计算机工程, 2009, 35(12): 269-271 |
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| 作者姓名： | 康浔 肖明 |
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| 作者单位： | 1. 海峡之声广播电台,福州,350012
2. 茂名学院电子信息工程系,茂名,525000 |
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| 摘 要： | 探讨在感知器个数少于源信号个数时的盲分离问题，提出频域中的单源区间矩阵恢复方法，以实现时域检索平均法在频域中的扩展，与传统的聚类算法相比，该算法计算简单、精度高，在理论上能够无偏差地估计混叠矩阵。在源信号的恢复上，根据稀疏的原则，在仅m个源在频域中较大、其余源可近似为0的假设下，得出求解L1范数的简化方法。语音信号仿真实验展示了该方法的性能和实用性。
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| 关 键 词： | 盲信号分离 欠定的盲信号分离 稀疏成分分析 单源区间 |
| 修稿时间： | |
Single Source Intervals in Frequency Domain and Underdetermined Blind Signal Separation |
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| KANG Xun,XIAO Ming. Single Source Intervals in Frequency Domain and Underdetermined Blind Signal Separation[J]. Computer Engineering, 2009, 35(12): 269-271 |
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| Authors: | KANG Xun XIAO Ming |
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| Affiliation: | 1.Radio of the Voice of the Straits;Fuzhou 350012;2.Department of Electrics & Information Engineering;Maoming University;Maoming 525000 |
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| Abstract: | This paper discusses the underdetermined blind separation problem when the sensors is less than sources.Matrix Recovery in Single Source Intervals(MRISSI) algorithm in the frequency domain is proposed.It is an extension of Searching-and-Averaging Method in Time Domain(SAMTD).Compared with the traditional clustering algorithms,its computational complexity is low and it has the precisely estimated matrix.In theory,it can estimate the mixing matrix without any error.In the sources recovery,a simplified method ... |
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| Keywords: | Blind Signal Separation(BSS) underdetermined Blind Signal Separation(BSS) sparse component analysis Single Source Intervals(SSI) |
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