OFDM_System_Matlab_Code

离散多载波传输(DMT)的MATLAB程序及注释，多初学者会有帮助(discrete multicarrier transmission (DMT) and the MATLAB program notes, there will be more help beginners)

gud code in matlab..make it use of it..it ju segments different images aand make it useful for classifying

说明：  对图片中字母数字识别，通过matlab实现(Recognition of letters and numbers in pictures)

matlab 多维小波工具箱 有线性卷积 三维的小波变换，逆变换等等 (matlab multi-dimensional wavelet toolbox has three-dimensional linear convolution of wavelet transform, inverse transform and so on)

说明：  用LS算法实现共512个数据的预测，并得到误差平方的仿真图(LS algorithm with a total of 512 data, forecasts, and get squared error of the simulation diagram)

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.

在弹载数据链系统中,进行测试验证，实验表 明RS码能够明显改善弹载数据链的误码率性能。(In the onboard data link systems, test validation experiments show that RS code can significantly improve the bit error rate performance onboard data chain.)

this file implements the set-up of the simulation parameters for wimax matlab simulator. can be used for communications simulations. implemented as a matlab function file. very easy to use

Nonlinear component analysis as a kernel Eigenvalue problem

说明：  一个SVM分类的例子.构造输入数据，进行SVM，画图显示分类结果(an example for SVM。classify created input and show the result.)