| 基于两步法稀疏分量分析的欠定盲源分离 |
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| 引用本文： | 李白燕,郭水旺,李应生.基于两步法稀疏分量分析的欠定盲源分离[J].电声技术,2010,34(9):64-67. |
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| 作者姓名： | 李白燕 郭水旺 李应生 |
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| 作者单位： | 黄淮学院,河南,驻马店,463000 |
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| 基金项目： | 河南省科技攻关计划项目 |
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| 摘 要： | 分析了解决欠定盲源分离问题的稀疏分量分析方法。首先讨论了数据矩阵稀疏表示（分解）的方法，其次重点讨论了基于稀疏因式分解方法的盲源分离。该盲源分离技术分两步．一步是估计混合矩阵，第二步是估计源矩阵。如源信号是高度稀疏的，盲分离可直接在时域内实现。否则．对观测的混合矩阵运用小波包变换预处理后才能进行。仿真结果证明了理论分析的正确性。
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| 关 键 词： | 欠定盲源分离 稀疏分量分析 聚类算法 过完备独立分量分析 |
Two-Step Sparse Component Analysis for Underdetermined Blind Source Separation |
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| LI Baiyan,GUO Shuiwang,LI Yingsheng.Two-Step Sparse Component Analysis for Underdetermined Blind Source Separation[J].Audio Engineering,2010,34(9):64-67. |
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| Authors: | LI Baiyan GUO Shuiwang LI Yingsheng |
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| Affiliation: | LI Baiyan,GUO Shuiwang,LI Yingsheng(Department of Information Engineering,Huanghuai University,Zhumadian Henan 463000,China) |
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| Abstract: | A sparse decomposition approach used in underdetermined BSS(Blind Source Separation)is presented.First,sparse representation(factorization) of a data matrix is discussed.Next,BSS is discussed based on sparse factorization approach.The blind separation technique includes two steps:estimating a mixing matrix and estimating sources.If the sources are sufficiently sparse,blind separation can be carried out directly in the time domain.Otherwise,blind separation can be implemented in time-frequency domain after a... |
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| Keywords: | underdetermined BSS sparse component analysis clustering algorithm overcomplete ICA |
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