主成分分析

在MATLAB下面实现谱减法语音增强算法，通过仿真能得到很不错的效果，值得推荐~(speech_enhancement under matlab enviroment~)

平面波展开法计算立方结构光子晶体带隙，使用matlab编程，开源代码(Plane wave expansion method to calculate the cubic structure of photonic band gap, using matlab programming, open source code)

CRC Code Receiver stage -> check redundancy bit

matlab 经典仿真50 例子 各类变频器仿真 控制(Matlab classic 50 simulation examples Control of inverter simulation )

里面有论文，matlab的GUI源码，并结合了simulink的变成和连接。()

基于DQ轴同步旋转坐标轴系数学模型下的双馈发电机simulink模型。(Based on the DQ-axis synchronous rotating frame mathematical model of the shaft under the simulink model of doubly-fed generator.)

数学建模 与MATLAB 全国大学生数学建模竞赛(These documents are PPT formated CUMCM MATLAB. )

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.)

学习C++ template的好资料，详细介绍了template的特性和用法(C++ tmeplate)

采用RGB+K-means对路标进行提取，效果十分不错。(RGB+ k-means is adopted to extract road signs, and the effect is very good.)