huidu

matlab的自学教程，很基础的东西，好理解(matlab self-study tutorial, very basic things, a good understanding of)

逐步判别分析的主函数 用于分类 [sel,c,c0,re,P]=StepclaassV2(data,[50 50 50],data,10) 输入变量 x为训练集.每行为一个样本，每列为一个变量. Class_x,为训练集的分类情况，一行，为各类样本数量,例如[5 6 9] Test为待分类样本. 输出变量：sel为选择的变量序号，c,c0为拟合出的判别函数.re为对Test的判别结果,P为其后验概率. author 王新 2012.4.8 例子Sample: load fisheriris x=meas Class_x=[50,50,50] Test=meas(1:5,:) Fa1=4 [sel,c,c0,re,P]=StepclaassV2(x,Class_x,Test,Fa1)( Stepwise discriminant analysis for the classification of the main function [sel, c, c0, re, P] = StepclaassV2 (data, [50 50 50], data, 10) input variables x as the training set, each conduct a sample of each as a variable. Class_x, the classification for the training set, a row, the number of samples for all types, for example, [5 6 9] Test sample to be classified. output variable: sel for the selected variables serial number, c, c0 is fitted discriminant function. re discrimination results for the Test, P its posterior probability. author Wang 2012.4.8 examples Sample: load fisheriris x = meas Class_x = [50,50,50] Test = meas (1:5, :) Fa1 = 4 [sel, c, c0, re, P] = StepclaassV2 (x, Class_x, Test, Fa1))

利用外接矩形描述人体目标，在Matlab里实现跌倒检测。(Using external rectangle describes human target, realize the fall detection in Matlab. )

复杂网络算法与应用教程的例子源代码，对复杂网络学习和实验有提高(Complex network algorithm and Application Tutorial example source code, complex network learning and experiment has been improved.)

这是MATLAB分析中要用到的支持向量机的程序代码(This is used in MATLAB analysis of support vector machine code)

this mfile determine the observability of a system in control

Some source matlab code about image processing

永磁同步电机直接转矩控制的matlab/simlink仿真图(Permanent Magnet Synchronous Motor Direct Torque Control matlab/simlink simulation map)

上传的m文件是采用MATLAb实现的数学曲线拟合(M file uploaded using MATLAB to achieve mathematical curve fitting)

自己编写的HYMOD水文模型模块，能够直接运行得到HYMOD的结果。(I have written HYMOD hydrological model module, capable of running HYMOD results obtained directly.)