主成分分析，支持向量机介绍，PDF文档，自制-Principal component analysis, support vector machine, PDF documents, homemade

针对非线性非平稳信号的去噪问题，提出一种基于主成分分析（ＰＣＡ）的经验模态分解（ＥＭＤ）消噪方法．该方法根据ＥＭＤ的分解特性，利用ＰＣＡ对噪声信号经ＥＭＤ分解后的内蕴模态函数（ＩＭＦ）进行去噪处理-For nonlinear and non-stationary signal de-noising is proposed based on principal component analysis (PCA) of the empirical mode decomposition (EMD) de

详细描述了PCA主成分分析的原理、计算步骤以及使用SPSS软件分析PCA，有较高的参考意义。-A detailed descr iption of the principles of PCA principal component analysis, calculation steps and the use of SPSS software to analyze the PCA, a higher reference value.