ex6

说明：  用ADD_IN实现VC++和Matlab的混合编程（文档部分）(with ADD_IN VC and Matlab mixed programming (documentation))

可以在matlab图的下方给出图像标注。matlab的title命令只能在图像的上方标注图标(in Matlab is at the bottom of the map image tagging. Matlab can order the title in the above image tagging icon)

CashCode protocol Visual Studio

对于初学者具有参考意义，相控阵天线的方向图（切比雪夫加权），包含位置式PID算法、积分分离式PID，实现了对10个数字音的识别程序利用matlab GUI实现的串口编程例子，验证可用。(For beginners with a reference value, Phased array antenna pattern (Chebyshev weights), It contains positional PID algorithm, integral separate PID, Realization of 10 digital audio recognition program Use serial programming examples matlab GUI implementation, Verification is available.)

核密度估计的parzen窗法，简单易用，适合于初学非参数估计的用户。(Kernel Density Estimation parzen window method, easy to use, suitable for novice non-parametric estimation of the user.)

基础的doa代码，基于基本的music算法，简单易懂，适合初学者对music算法的理解，吐血推荐，希望对大家有所帮助。(basic music on doa.)

optimal control code.this code for optimal controller

统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含： 1，Analysis of linear discriminant function 2，Feature extraction: Linear Discriminant Analysis 3，Probability distribution estimation and clustering 4，Support Vector and other Kernel Machines( This section should give the reader a quick overview of the methods implemented in STPRtool. • Analysis of linear discriminant function: Perceptron algorithm and multiclass modification. Kozinec’s algorithm. Fisher Linear Discriminant. A collection of known algorithms solving the Generalized Anderson’s Task. • Feature extraction: Linear Discriminant Analysis. Principal Component Analysis (PCA). Kernel PCA. Greedy Kernel PCA. Generalized Discriminant Analysis. • Probability distribution estimation and clustering: Gaussian Mixture Models. Expectation-Maximization algorithm. Minimax probability estimation. K-means clustering. • Support Vector and other Kernel Machines: Sequential Minimal Optimizer (SMO). Matlab Optimization toolbox based algorithms. Interface to the SVMlight software. Decomposition approaches to train the Multi-class SVM classifiers. Multi-class BSVM formulation trained by Kozinec’s algorithm, Mitchell- Demyanov-Molozenov algorithm )

研究微弱信号随机共振之后信号的恢复问题，包括一些模型的搭建等等(Study weak signal stochastic resonance signal after recovery issues, including some of the model structures, etc.)

matlab课程编程【谷速软件】matlab打印图形到一个文件(Courses matlab software programming speed [Valley] matlab print graphics to a file)