| 一种改进牛顿法的盲源分离算法 |
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| 引用本文： | 刘海鹏,田学民,邓晓刚.一种改进牛顿法的盲源分离算法[J].电脑与信息技术,2011,19(2):1-3,47. |
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| 作者姓名： | 刘海鹏 田学民 邓晓刚 |
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| 作者单位： | 中国石油大学(华东)信息与控制工程学院,山东,东营,257061 |
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| 摘 要： | 针对盲信号分离中超高斯信号亚高斯信号混叠难以分离的问题,提出一种基于改进牛顿法的盲源分离算法.该方法引入开关准则,利用随机变量的峭度来区分信号的类型,不同的信号选择不同的非线性函数,通过牛顿迭代方法求出分离矩阵,实现同时含有超高斯信号和亚高斯信号的杂系混合信号的盲源分离.仿真实验表明了该方法计算量小,易于实现,对于杂系...
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| 关 键 词： | 盲源分离 独立分量分析 峭度 牛顿法 |
An Improved Algorithm for Blind Source Separation with Newton Method |
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| LIU Hai-peng,TIAN Xue-min,DENG Xiao-gang.An Improved Algorithm for Blind Source Separation with Newton Method[J].Computer and Information Technology,2011,19(2):1-3,47. |
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| Authors: | LIU Hai-peng TIAN Xue-min DENG Xiao-gang |
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| Affiliation: | (College of Information and Control Engineering,China University of Petroleum,Dongying 257061,China) |
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| Abstract: | A novel algorithm for blind source separation with Newton method is presented to solve problem with both super-and sub-Gaussian sources.Instead of using one nonlinear function,an alternative switching criterion using the kurtosis to select the different nonlinear functions is proposed for Newton method learning algorithm.Computer simulation results showed that,the algorithm can be effective in blind separation of mixed super-and sub-Gaussian sources,it can converge speedily.In addition,the separation efficiency was improved relative to the Ext-Informax algorithm. |
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| Keywords: | blind source separation independent component analysis kurtosis newton method |
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