| 独立成分分析技术综述 |
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| 引用本文： | 杨金成,张南.独立成分分析技术综述[J].舰船科学技术,2007,29(2):83-86. |
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| 作者姓名： | 杨金成 张南 |
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| 作者单位： | 1. 华中科技大学,电气与电子工程学院,湖北,武汉,430074
2. 华中科技大学,控制科学与工程系,湖北,武汉,430074 |
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| 摘 要： | 独立成分分析是一种将源信号从混合信号分离出来的信号处理技术。本文首先概述了独立成分分析与盲信号分离,主成分分析的关系,然后系统地介绍了该技术的基本概念和数据模型,对现今比较流行的各种独立成分分析算法进行了剖析和总结。最后对独立成分分析的发展及应用前景作了展望。
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| 关 键 词： | 独立成分分析 主成分分析 盲信号分离 |
| 文章编号： | 1672-7649（2007）02-0083-04 |
| 修稿时间： | 2005-11-15 |
A review of independent component analysis |
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| YANG Jin-cheng,ZHANG Nan.A review of independent component analysis[J].Ship Science and Technology,2007,29(2):83-86. |
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| Authors: | YANG Jin-cheng ZHANG Nan |
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| Institution: | 1. College of Electrical and Electronic Engineering, Huazhong University of Science and Technology,Wuhan 430074, China; 2. Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China |
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| Abstract: | The Independent Component Analysis is the technique of signal processing for separating independent source signals from a mixed signal. Firstly, the paper briefly reviews the relationships and differences among ICA, Blind Signal Separation and Principal Component Analysis.Then the basic concept and the data model of ICA are described in detail, and its current popular algorithms are also analyzed and summarized. Finally, the future of its development and applications is indicated. |
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| Keywords: | independent component analysis principal component analysis blind signal separation |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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