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| 摘要: |
| 盲信号分离是近几年才发展起来，用于解决从混合观测数据中分离源信号的一门新技术，已在许多领域获得了广泛应用。本文介绍了盲分离的主要理论和两大类实现方法——独立分量分析和非线性主分量分析，并在此基础上介绍了实现盲信号分离的不同算法、在非线性混合情况下的算法以及盲信号分离将来的发展方向。 |
| 关键词: 育信号分离 独立分量分析 最小互信息法 非线性主分量分析 最大熵法 |
| DOI： |
| 分类号:TN911.6 |
| 基金项目:国家自然科学基金资助项目(10276005) |
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| A Survey of Blind Source Separation |
|
LI Mu-sen MAO Jian-qin
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| Abstract: |
| Blind source separation (BSS) is a recently developed methodology used to separate unknown source signals from their mixtures. It has been applied to many fields widely and effectively. The theory and two types of implementation methods-independent compon |
| Key words: blind source separation,independent component analysis,nonlinear principle component analysis,minimum mutual information,maximum entropy, |
