摘要
介绍了主分量分析及其计算方法,论证了采用主分量分析方法对混合信号进行白化解相关处理的理论基础,对基于主分量分析方法的解相关处理进行了仿真。结果表明,对信号进行解相关处理可以大幅度降低信号之间的互相关程度。
The theories of principal component analysis (PCA) have been introduced. The PCA- based decorrelation algorithm has been reasoned and the simulation has been processed. The results show that the decorrelation can evidently reduce the correlation among the components that are included in mixture signals.
出处
《中国机械工程》
EI
CAS
CSCD
北大核心
2005年第21期1954-1956,共3页
China Mechanical Engineering
基金
国家自然科学基金资助项目(50375047
50275061)
关键词
解相关
白化
主分量
盲源分离
decorrelation
whitening
principal component
blind source separation