ukf

this matlab code is for implementation of rayleigh channel using gans model.

说明：  有色噪声干扰下多变量系统的辅助模型辨识方法(Colored Noise multivariable model identification method of the auxiliary system)

Matlab code image processing GUI Histogram Gray-Scale Binary

FUZZY BASED EXCITATION CONTROL SYSTEM

通过编写该程序，实现图像的动态分形处理及仿真。(Through the preparation of the program, the image of the dynamic fractal processing and simulation.)

hign power using matlab

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.

In this program we demonstrate the MP, OMP, WMP, and Thresh algorithm, by running them on a set of test signals and checking wether they provide the desired outcome

这是一本英文版的书籍，主要讲述模型预测控制，对初学者的学习很有帮助。(This is a book of English version about model predictive control, that is very helpful for beginners learning.)

本函数计算一个大区域上的信号干扰分布情况。(This function calculates a large area on the distribution of signal interference.)