论文部分内容阅读
在图像处理、通讯技术等信息处理领域中,主成分分析(PCA)和小成分分析(MCA)是很常用的一种方法.给出能同时得到主成分分析或小成分分析所要求的特征值和特征向量的实时算法.
In the fields of image processing, communication technology and other information processing, principal component analysis (PCA) and small component analysis (MCA) are commonly used methods, and the eigenvalues that can be obtained simultaneously by principal component analysis or small component analysis And feature vector real-time algorithm.