psnrsourcedoidandapp

说明：  本書完整的說明與充分的網路支援，可以使讀者能充分地掌握MATLAB的脈動，擁有解決工程問題的最佳利器,11-20章(A complete description of the book and the full network support, will enable readers to fully grasp the pulse of MATLAB, has to solve engineering problems in the best weapon, 11-chapter 20)

应用matlab 的simulink建立的有关IGBT的逆变硬件电路及SPWM程序(The application of matlab established the relevant IGBT simulink SPWM inverter hardware circuit and program )

这是指图像拼接的一个MATLAB源码,不知道是否会对大伙有用.(This image is a mosaic of MATLAB source, do not know whether everyone would useful.)

通过matlab中GUI实现的远程通信程序(A remote communication program implemented by GUI in MATLAB)

是本科毕设的题目，基于掌纹识别的在线身份验证 识别算法本科毕设，内含心电信号数据及运用MATLAB写的源代码。( The title of the commercial is undergraduate course you Verify recognition algorithm based on palmprint recognition undergraduate complete set of online identity, ECG data and includes source code written in MATLAB.)

帮助大家认识蚁群算法 附上典型TSP的dat文件供大家测试(Ant colony algorithm to help you understand the typical TSP attached dat file for all the test)

说明：  模糊聚类分析matlab工具箱fullcluster(Fuzzy cluster analysis matlab toolbox fullcluster)

3D Lucas Kanade Optical Flow

信号检测与估值大作业，MATLAB画出ROC理论曲线，蒙特卡洛实验画出时间曲线(Signal Detection and valuation of large operations, MATLAB draw ROC curve theory, Monte Carlo experiment shown time curve)

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.)