matlab-call--cPP

GPS_INS组合导航的MATLAB仿真源码(GPS_INS integrated matlab code)

matlab语言解高等数学中的各种问题，并附有各个例题的程序。(matlab language of higher mathematics in the solution of various problems, with various examples of the procedures.)

实现应用VC++读取mat文件，实现VC++与matlab混合编程(Achieve application VC++ to read mat file, to achieve mixed VC++ and matlab programming)

利用非线性控制完成光伏并网逆变器的设计，设计中采用先进的反步法，介绍很好。(Using nonlinear control to complete the design of the photovoltaic (pv) grid inverter, adopted in the design of advanced reverse moves, the introduction is very good.)

nelder-mead算法,程序不算太长，应该好理解，仔细看几遍就行了(nelder-mead method， it is very useful if you want it,just download it!)

START RAT远控源码START RAT远控源码START RAT远控源码START RAT(START START RAT RAT far point source code remote control the source code START START RAT RAT far point source code)

matlab绘制阵列正六边形。采用坐标方法。(Draw a regular hexagon array matlab. Using coordinate methods.)

说明：  <最优化及matlab的应用>课后题的编程(Most optimized operating)

This a set of simple implementations for aligning scans of range-bearing laser data. They are written as demonstrations of basic algorithm implementations and are not designed for real-world (ie, efficient) application. The source code consists of MatLab scripts, mex-files and C++ code. to objects). This demo also provides a nice example of using "placement new" and explicit destruction. (This a set of simple implementations for aligning scans of range-bearing laser data. Th are written as a journalist in demonstrations of basic algor ithm implementations and are not designed for r Leveraging-world (ie, efficient) application. The source code consi sts of MatLab scripts, Mex-files and C code. to objects). This demo als o provides a nice example of using the "placement ne w "and explicit destruction.)

说明：  基于非负矩阵分解（NMF）的人脸特征提取算法，NMF基本思想是找到一个线性子空间W，使的构成子空间的基本图像的像素点都是正值，而且人脸图像在子空间上的投影系数也是正数(Non-negative Matrix Factorization (NMF) of facial feature extraction algorithm, NMF basic idea is to find a linear sub-space W, so that the composition of sub-space of the basic image pixels are positive, and face image in the sub-space projection coefficient is positive)