matlab

空时编码的源码,包含matlab文件,学习空时编码的好资料。(Space-time coding of the source, including the matlab file, learning a good space-time coding information.)

说明：  基本蚁群算法，，希望大家能够喜欢，很好的资源(Ant colony algorithm)

在MATLAB 中载入程序后，输入模型的时程响应数据，可以求得模型的自振频率和阵型。(After loading the program in MATLAB, duration of response data input model, the model can be obtained the vibration frequency and formation.)

基于非线性干扰观测器的直升机滑模反演控制(Based on nonlinear disturbance observer helicopter sliding inversion control)

matlab 关于association rule 的自己写的函数，有3个文件, association.m：h = association(m, i, j) i=>j, m是数据，h是support和confidence，该函数只适用于单个数据 ass_item: h=ass_itset(m, a, b) 同上，但是可用于多个数据（m为数组） assrule: h = assrule(m, threshold1, threshold2) 该函数用于classification， 得到规则，threshold1为要求的support,threshold2为要求的confidence，h 则为符合要求的规则及其support和confidence，前2列为规则，后2列为其support和confidence (matlab on the association rule to write functions, there are 3 files, association.m: h = association (m, i, j) i => j, m is the data, h is the support and confidence, this function applies only to a single Data ass_item: h = ass_itset (m, a, b) it is the same as above, but it can be used for multiple data (m can be matrix) assrule: h = assrule (m, threshold1, threshold2) the function used for classification,get the rules, threshold1 is the require of support, threshold2 is the required of confidence, h is the rules and their support and confidence, the former two columns as a rule, the latter two columns as one of its support and confidence)

说明：  注水算法的matlab 仿真程序，图形显示结果(Injection algorithm matlab simulation program, the results of graphical display)

Matlab Code to suppress estimate PSD, Noise in speech and minimise it and thus improve SNR

此ppt详细讲解了SOM的MATLAB实现全过程(This ppt explain in detail the self-organizing network learning algorithm to achieve the whole process of MATLAB)

svm的回归预测分析，包含源代码和数据，测试可用(svm regression analysis to predict, including source code and data, test available)

说明：  100kV光伏并网平均模型 MPPT使用扰动观察法(Average Model of 100 kV Photovoltaic Grid Connection MPPT uses perturbation observation method)