关于独立成分分析的一个ppt,这个ppt对独立成分分析的介绍很全面,从原理,到算法实现都很清楚,希望对大家有所帮助!-With regard to independent component analysis, a ppt, the ppt presentation on independent component analysis is very comprehensive, from the principle, to the algorithm are well aware, we wan

this principle component analysis(PCA) that is used for linear dimensionality reduction and feature extraction as well as the nonlinear form of PCA which is KPCA and how PCA is used for Active shape models -this is principle component analysis(PCA) t

the program shows that how to done principle component analysis in matlab.

IMC-PID是利用内模控制原理来对PID参数进行计算，分析了该信号的时域、频域、倒谱，循环谱等,借鉴了主成分分析算法（PCA）。- The IMC- PID is using the internal model control principle for PID parameters is calculated, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. It d