| 基于独立分量分析的盲信号分离研究 |
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| 引用本文： | 陈艳,刘景景.基于独立分量分析的盲信号分离研究[J].中国西部科技,2009,8(3):41-43. |
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| 作者姓名： | 陈艳 刘景景 |
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| 作者单位： | 池州学院,安徽,池州,247000 |
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| 摘 要： | 独立分量分析是一种基于高阶统计量的信号分析方法，近年来作为信号处理的强有力的分析处理工具得到广泛的关注和研究。本文首先介绍了独立分量分析的基本概念和数据模型，然后对比较流行的各种独立分量分析算法进行了剖析和总结，最后对独立分量分析的应用和发展趋势作了展望。
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| 关 键 词： | 盲信号分离 独立分量分析 高阶统计量 |
The Research on Blind Source Separation Based on Independent Component Analysis |
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| CHEN Yan,LIU Jing-jing.The Research on Blind Source Separation Based on Independent Component Analysis[J].Science and Technology of West China,2009,8(3):41-43. |
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| Authors: | CHEN Yan LIU Jing-jing |
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| Institution: | (Chizhou College,Anhui Chizhou 247000) |
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| Abstract: | Independent Component Analysis （ICA） is a signal analysis method based on signal＇s high order cumulants.It can find out the latent independent components in data.With it＇s widely application in signal management,many researches have focused on ICA method recently.Firstly,we briefly described the basic concept and the data model of ICA.Then its current popular algorithms were also analyzed and summarized.Finally,we presented the application and future development of ICA. |
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| Keywords: | blind source separation independent component analysis higher order statistics |
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