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基于二次特征函数高阶导数联合对角化的盲源分离算法
引用本文:史晓非,孙永梅,刘人杰,张忠,王洪智.基于二次特征函数高阶导数联合对角化的盲源分离算法[J].大连铁道学院学报,2005,26(2):71-74.
作者姓名:史晓非  孙永梅  刘人杰  张忠  王洪智
作者单位:[1]大连海事大学信息工程学院,辽宁大连116026 [2]大连交通大学电气信息学院,辽宁大连116028
摘    要:针对线性混叠信号,提出一种瞬时混叠盲源分离的批处理算法,利用观测信号的二次特征函数高阶导数联合对角化得到盲分离准则和实验公式,采用非正交对角化方法,不需要白化,实现盲源分离,仿真实验结果表明此算法不仅对非高斯信源具有良好的分离性能,而且对概率密度为非对称分布信源,具有很好的性能。

关 键 词:特征函数  高阶导数  盲分离  非对称  联合对角化
文章编号:1000-1670(2005)02-0071-04
收稿时间:2004-11-23

Second Characteristic Function High Order Derivative Joint Diagonalization Based on BSS Algorithm
Shi XiaoFei;Sun YongMei;Liu RenJie;Zhang Zhong;Wang HongZhi.Second Characteristic Function High Order Derivative Joint Diagonalization Based on BSS Algorithm[J].Journal of Dalian Railway Institute,2005,26(2):71-74.
Authors:Shi XiaoFei;Sun YongMei;Liu RenJie;Zhang Zhong;Wang HongZhi
Abstract:For linear mixing signals, a temporal mixing Blind Source Separation batch algorithm is proposed. The principle and experiment formula of BSS is established based on the second characteristic function high order derivative joint diagonalization. Non-orthogonal diagonal method is used without the need for BSS. Simulation shows that the proposed algorithm has good separation performance for nongaussian sources, and have perfect outcome for asymmetry sources.
Keywords:characteristic function  high order differential  blind sources separation  asymmetry  joint approximate diagonalization
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