mytp

可以供在SVM门口的初学者早日入门，这些都是最基本的SVM程序，但是也比较专业，希望有需要的人使用(SVM can be at the door for an early entry for beginners, these are the most basic SVM procedure, but more professional, I hope the person has required the use of)

经典子空间算法的完整实现，噪声消除效果比较好(an approach of speech enhancement algorithm)

语音处理源程序，已经过调试，直接运行即可实现(Speech processing source program, have been debug, direct operation can be realized )

matlab code for object detection as well as our eyes can do

本遗传算法程序已经调试修改过，有利于初学者上手，如果有不懂，可以参考附带的文献。(The genetic algorithm has been modified to debug, help beginners get started, if you do not understand, you can refer to the accompanying literature.)

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.

一些入门的并网控制系统，含光伏和储能部分。(Some introductory networked control systems, including photovoltaic and energy storage)

CDMA的MATLAB仿真，可以进行不同信噪比下的误码率分析。(MATLAB simulation of CDMA can be carried out under different signal to noise ratio of the bit error rate analysis.)

研究脑电的经典文章，国外大牛写的，值得推荐，研究脑电信号处理的方法(EEG studies classic article, written by Daniel abroad, it is recommended to study the EEG signal processing methods)

基于牛顿法的配网潮流计算程序，采用改进牛顿法，对初学者有很大帮助(Calculation is based on Newton s method with network flow program, an improved Newton, a great help for beginners)