MOGWO

国外经典书籍，帮助迅速理解学习MATLAB，从入门到精通，包括基本知识和使用方法(Classic books abroad, to help quickly learn to understand MATLAB, from entry to the master, including the basic knowledge and use of)

串联操作臂的运动学方程和力/位置控制程序。(Matlab program of the kinematics equation and force/position control of series manipulator.)

33节点电力系统仿真，很实用，包含整套系统(33 node power system simulation)

基于统计的方差比率计算程序。用于财务金融的建模与分析(Variance ratio based on statistics calculation program. For Modeling and Analysis of Financial)

matlab数字图像处理中值滤波，希望对大家有帮助(matlab digital image processing, median filter, we would like to help)

xerrorbar - Just like errorbar, but for uncertainty in x

Algorithm Given are P training pairs {X1,d1,X2,d2....Xp,dp}, where Xi is (n*1) di is (n*1) No of Categories=R. i=1,2,...P Yi= Augmented input pattern( obtained by appending 1 to the input vector) i=1,2,…P In the following, k denotes the training step and p denotes the step counter within the training cycle Step 1: c>0 , Emin is chosen, Step 2: Weights are initialized at w at small values, w is (n+1)*1. Counters and error are initialized. k=1,p=1,E=0 Step 3: The training cycle begins here. Input is presented and output computed: Y=Yp, d=dp Oi=f(wtY) for i=1,2,….R Step 4: Weights are updated: wi=wi+1/2c(di-oi)Y for i=1,2,…..R. Step 5: Cycle error is computed: E=1/2(di-oi)2+E for i=1,2,…..R. Step 6: If p<P then p=p+1,k=k+1, and go to Step 3: Otherwise go to Step 7. Step 7: The training cycle is completed. For E=0,terminate the training session. Outputs weights and k. If E>0,then E=0 ,p=1, and enter the new training cycle by going to step 3.

aloha算法的基本模型，基于matlab语言，主要提供了一种思想(Anti-collision algorithm for the basic model)

显示时间 全球同步(show that the global synchronization)

this code is of median filtering. this code is only for 3x3 window.