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一种峭度宽松开关盲分离算法
引用本文:孙政,赵知劲,吴杰.一种峭度宽松开关盲分离算法[J].杭州电子科技大学学报,2007,27(1):33-37.
作者姓名:孙政  赵知劲  吴杰
作者单位:杭州电子科技大学通信工程学院,浙江,杭州,310018
摘    要:该文在盲分离开关算法的基础上提出一种峭度宽松开关算法.该算法用峭度作为激活函数中的开关量分析随机变量的高斯性,解决了原开关算法中衡量参数的不稳健性.该算法与盲分离开关算法和扩展的Infomax算法的仿真实验比较表明,新算法具有更好的分离效果和抗噪声能力.

关 键 词:盲分离  峭度  开关算法  峭度  开关量  盲分离算法  Blind  Source  Separation  Algorithms  Switching  Loose  能力  抗噪声  分离效果  实验比较  仿真  Infomax  扩展  参数  高斯  随机变量的  分析  激活函数  开关算法
文章编号:1001-9146(2007)01-0033-06
收稿时间:2006-10-23
修稿时间:2006-10-23

A New Kurtosis Loose Switching Algorithms for Blind Source Separation
SUN Zheng,ZHAO Zhi-jin,WU Jie.A New Kurtosis Loose Switching Algorithms for Blind Source Separation[J].Journal of Hangzhou Dianzi University,2007,27(1):33-37.
Authors:SUN Zheng  ZHAO Zhi-jin  WU Jie
Affiliation:Schod of Communication Engineering, Hangzhou Dianzi University, Hangzhou Zhejiang 310018, China
Abstract:This paper presents a new kurtosis loose switching algorithm(KLSA) based on the blind source separation switching algorithm.The algorithm directly uses kurtosis as a switching variable of the activation function to analyze the Gaussianity of random variables and it can solve the problem that the measurement parameter of the switch algorithm is not robust.Compared the performance of the new algorithm with the performance of BSS switching algorithm and extended Infomax ICA algorithm,the simulation results show that the new algorithm can get the better separation performance and anti-noise ability.
Keywords:blind source separation(BSS)  kurtosis  switching algorithm
本文献已被 CNKI 维普 万方数据 等数据库收录!
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