data_region

经过测试，发现这个代码结果很好，而且可以 和别的程序结合，恩不错的(tested and found very good results this code, but can and other procedures, TU good)

多输入多输出系统迭代学习控制算法程序,此程序对迭代学习控制算法的新手，具有一定帮助，加深对ILC算法的理解。(the ILC of MIMO system)

TFA codes . STFT for 2D images Short term fourier transform for images. Short term fourier transform for images

数据同化的经典算法，集合卡尔曼滤波算法，用Matlab写的，里面附有一些参考文献，初学者适用(Classical algorithm of data assimilation, ensemble Kalman filter algorithm, written using Matlab, which with some references, for beginners)

MATLAB扩展编程MATLABExtendedProgramming(MATLAB Extended Programming)

说明：  模式分类 杜达的书 第二章 第二题的答案matlab 源程序(pattern classification duda chapter 2 no.2 matlab code)

generation of impulsive noise

V-BLAST over rayleigh fading channel ZF equalizer with dimension 2x2 4x4 and 2x4

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.

This is code of Cuckoo Optimization Algorithm (COA) with MATLAB