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Matlab下实现rb算法(Matlab under rb Algorithm)

这是薛定宇的经典书籍：高等数学问题的MATLAB求解~非常有用，非常详细，欢迎大家下载~(This is of Xue Dingyu the classic books: MATLAB higher mathematics problem solving to be very useful, very detailed, welcome to download to)

说明：  一个很基础的运动目标检测的程序代码、码源~(A very moving target detection based code, source code ~)

利用小波分析方法，阈值去噪的算法及MATLAB实现的程序(Wavelet analysis method, thresholding algorithm in MATLAB program )

matlab 配电网潮流计算程序，前推回代法5节点4支路源代码(matlab distribution power flow calculation program, before and backward substitution method node 4 branch source code)

说明：  仿真了AM信号的产生过程和方法，过程详尽，方法简单，已经过测试。(Simulation of the AM signal generation process and methods, processes and detailed, the method is simple, has been tested.)

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))

二维弹塑性本构程序，可用于混凝土或钢梁二维弹塑性分析(Two dimensional elastic plastic programme)

已puma560工具箱为基础，编写了一个控制界面，可以实现对机械臂运动的正解反解及轨迹规划(Toolbox has been puma560 based on the preparation of a control interface, can achieve positive solutions to the robot arm motion and trajectory planning inverse solution)

Chebpack by Damian Trif