AP_ML

说明：  mimo 中stbc 仿真程序 已验证成功(mimo in the simulation program has been successfully verified stbc)

说明：  matlab实现的卫星轨道模拟，利用卫星轨道根数参量，通过求解开普勒方程求解卫星轨道模型(err)

OTSU最大类间方差法获取阀值(图像处理)，帮助学习MATLAB语言。(OTSU Otsu method to obtain the threshold (image processing) to help learn MATLAB language.)

calculation satellite GDOP

手指静脉linear_subspace特征提取 matlab实现(The finger vein linear_subspace feature extraction matlab achieve)

Single preceptron Easy example of single perceptron which learn to recognize logical function AND, OR, and so on :)

算法是原始对偶算法，该方法充分的剖析了优化问题的结构，是求解二次规划问题的一个较好的算法。求解比采用matlab 的Quardprog求解速度快许多！(Algorithm is the original dual algorithm, this method is fully analyzed the optimization of structure, is to solve the quadratic programming problem of a good algorithm. To solve the fast Quardprog than using matlab to solve many!)

关于固高科技有限公司的二级倒立摆lqr算法仿真及matlab源程序(With regard to solid high-tech Co., Ltd. double inverted pendulum LQR algorithm simulation and matlab source)

matlab实用程序百例(100 cases of matlab utility)

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)