一种基于新代价函数的盲源信号分离算法

广东工业大学学报 ›› 2008, Vol. 25 ›› Issue (2): 40-43.

一种基于新代价函数的盲源信号分离算法

广东工业大学应用数学学院广东广州510006；

出版日期:2008-06-01 发布日期:2008-06-01
基金资助:
广东工业大学校青年基金资助项目(052039)

BSS Algorithm Based on the New Cost Function

Faculty of Applied Mathematics,Guangdong University of Technology,Guangzhou 510006,China

Online:2008-06-01 Published:2008-06-01

摘要/Abstract

摘要： 选择两个函数的线性组合作为代价函数,基于组合的任意性,保证了加性噪声盲源信号分离的有效性,提高了信号处理的通用性.根据分离矩阵的Frobenius范数的收敛理论,在上述改进措施基础上,得出了改进的迭代规则,对混合源信号进行估计.经过仿真实验,结果显示信号分离效果较好.

关键词: 盲源信号分离； ICA算法；噪声；

Abstract: Two functions’ linearity combination was selected as cost function.It improved the validation of the blind source separation because of the randomicity of linearity combination.And then the rule was gained,based on the astringency theory of the Frobenius Norm.At last the signal with noise was estimated.It is proved that the Separation effect is very good.

Key words: blind source separation(BSS)； independent component analysis(ICA) algorithm； noise；

王振友；. 一种基于新代价函数的盲源信号分离算法[J]. 广东工业大学学报, 2008, 25(2): 40-43.

Wang Zhen-you. BSS Algorithm Based on the New Cost Function[J]. Journal of Guangdong University of Technology, 2008, 25(2): 40-43.

参考文献

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