| 一种基于内积运算的ICA新算法 |
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| 引用本文： | 江宇闻 朱思铭. 一种基于内积运算的ICA新算法[J]. 计算机科学, 2005, 32(12): 201-202 |
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| 作者姓名： | 江宇闻 朱思铭 |
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| 作者单位： | 中山大学数学系,广州,510275 |
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| 基金项目： | 国家自然科学基金资助(10371135) |
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| 摘 要： | 独立成分分析(ICA)是近几年发展起来用于解决盲源信号分离(Blind Source Separation)的一种基于信号高阶统计特性的分析方法。本文提出了一种基于向量间内积运算的解决独立成分分析问题的新算法,称之为I-ICA。I-ICA将混合数据在新的坐标轴上进行聚类,最后推断出原混合矩阵A′,再通过A′~(-1)和已有的观测数据计算得到源信号。
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| 关 键 词： | 独立成分分析 盲源信号分离 内积运算 |
A New ICA Algorithm Based on Inner Product |
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| JIANG Yu-Wen,ZHU Si-Ming. A New ICA Algorithm Based on Inner Product[J]. Computer Science, 2005, 32(12): 201-202 |
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| Authors: | JIANG Yu-Wen ZHU Si-Ming |
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| Affiliation: | Department of Mathematics, Sun Yat-Sen University, Guangzhou 510275 |
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| Abstract: | Independent Component Analysis (ICA) is developed in recent years,which is a solution to Blind Source Separation problem basing on the high-order statistics features of signals.This paper presents a new approach basing on inner product of vectors to ICA,named I-ICA.I-ICA uses mixed data to cluster in new coordinates,eventually in- fers the mixed matrix A',and then computes the source signals through A'~(-1) and observed data. |
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| Keywords: | ICA Blind source separation Inner product |
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