MFDMA

利用主成分分析方法实现分类的Matlab源码分析(Principal component analysis Matlab source code analysis)

说明：  它主要研究的是多因变量对多自变量的回归建模，特别当各变量内部高度线性相关时，用偏最小二乘回归法更有效。另外，偏最小二乘回归较好地解决了样本个数少于变量个数等问题。 偏最小二乘法是集主成分分析、典型相关分析和多元线性回归分析3种分析方法的优点于一身。它与主成分分析法都试图提取出反映数据变异的最大信息，但主成分分析法只考虑一个自变量矩阵，而偏最小二乘法还有一个“响应”矩阵，因此具有预测功能。(It is mainly a result of the study is a multi-variable regression modeling and more independent variables, especially when the internal height of each variable linear correlation, partial least squares regression method is more effective. In addition, partial least squares regression solves the number of samples is less than the number of variables and other issues. Partial least squares method is a set of principal component analysis, canonical correlation analysis and multiple linear regression analysis of the advantages of the three methods in one. It is the principal component analysis are trying to extract the maximum information reflects data variability, but the principal component analysis considers only one independent variable matrix, and partial least squares and a &quot response&quot matrix, predictive capabilities.)

有关OFDM的资料，对需要的朋友有帮助，谢谢(about OFDM)

correlation similarity measure

finite difference scheme for the thin plate equation with loss

设计滤波器的各种窗函数的源代码，非常有用，和大家分享，快来下载学习哦！！(A variety of window functions designed to filter the source code, very useful to share, come to learn oh download！！)

最新的去噪算法，优点：速度快，去噪效果好，适合实时性要求高的去噪中。(The latest de-noising algorithm advantages: speed, good de-noising effect, suitable for demanding real-time de-noising.)

天文导航方向，导航信号转化为星历表信息Matlab程序。(The direction of celestial navigation, navigation signal into Matlab ephemeris information procedures.)

通过将广义预测控制器转换成模型预测控制器的方法来达到广义预测控制的目的，对学习和使用gpc和mpc非常有用。(The generalized predictive controller converts the model predictive controller to achieve the purpose of generalized predictive control, very useful to learn and use gpc and mpc.)

用于计算同一序列在不同时刻的取值之间的相关程度的函数，即自相关函数 聚类分析函数(Autocorrelation functio,which was used to calculate the correlation of the same sequence at different time. Cluster analysis function)