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有关SIMULINK的教程，在学校时学习MATLAB是同学给的。(Tutorial of SIMULINK)

实现ID3 决策树算法，并使用MATLAB自带的工具箱函数画出决策树生成相应的规则(Achieve ID3 decision tree algorithm, and using MATLAB toolbox function that comes with the decision tree to generate the appropriate rules to draw)

albigenses+小波神经网络算法的研究，本例程给那些需要的人使用(albigenses+ wavelet neural network algorithm, the routine for those who need to use)

冈萨雷斯数字图像处理matlab版源码DIPUM Toolbax V1.1.3，数字图像处理学习的工具(Gonzalez digital image processing matlab source version DIPUM Toolbax V1.1.3, digital image processing tools for learning)

视频背景非参数估计论文及matlab实现.matlab代码只实现了灰度图的背景估计，论文利介绍的彩色视频处理方法可以自己看看怎么做。(Background and Foreground Modeling Using Nonparametric Kernel Density Estimation for Visual Surveillance AHMED ELGAMMAL, RAMANI DURAISWAMI, MEMBER, IEEE, DAVID HARWOOD, AND LARRY S. DAVIS, FELLOW, IEEE Invited Paper )

MatLab图形绘制功能口令及代码，很不错，值得看看(MatLab graphics rendering capabilities password and code, very good, worth a look)

随机信号仿真数据的生成的matlab程序(Random-signal simulation data generated by matlab program )

最大功率跟踪方法中用s函数编写的扰动观察法(Maximum power tracking method using s function written disturbance observation)

相关向量机(RVM)的matlab源程序，包含快速算法，内含代码使用说明。 RVM采取是与支持向量机相同的函数形式稀疏概率模型，对未知函数进行预测或分类。 优点： (1) 不仅仅输出预测目标量的点估计值,还可以输出预测值的分布. (2) 使用更少数量的支持向量,从而显著减少输出目标量预测值的计算时间. (3) RVM不需要估计过多的参数. (4) RVM对是否满足Mercer 定理的核函数没有限制,适应性更好(Relevance Vector Machine (RVM) of the matlab source code, including fast algorithm that contains code for use. RVM support vector machine is taken the same functional form sparse probabilistic model to predict the unknown function or classification. Advantages: (1) is not only the amount of output predicted target point estimates, but also the distribution of predicted values ​ ​ can be output. (2) using a smaller number of support vectors, thereby significantly reducing the output target amount predicted value calculation time. (3) RVM does not require excessive parameter estimation. (4) RVM meets Mercer theorem on the kernel function is not limited, and better adaptability)

Heat maps with numeric values overlayed