Turbo

MATLAB低通滤波，高斯滤波程序，共5个，对应分析的例子(MATLAB low-pass filter, Gaussian filter process)

cantera2.02 国外经典化学反应计算开源程序Cantera，基于MATLAB(cantera2.02 foreign classic chemical reaction open source Cantera, based on MATLAB)

研究风电接入对电力系统影响的经典书籍,适用于相关专业人士(classical text book to learn about winder power and its affect on power system)

matlab几个常用程序，用来学习神经网络编程练习(matlab several commonly used procedures used to study neural network programming exercises)

循环载入文本程序，适合大样本载入，很好用，推荐大家下载(Cyclic loading program text, suitable for large sample loading, useful, recommended download)

描述MCMC的MS（3）-GARCH模型的参数估计(MCMC method)

说明：  冈萨雷斯数字图像处理的一个review 简洁不错(a review of digital image processing)

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.

利用MATLAB进行铅垂平面有控弹道仿真，并给出参数结果(Vertical plane with MATLAB simulation of controlled trajectory, and the results are given parameters)

《MIMO-OFDM无线通信技术及MATLAB实现》源代码("MIMO-OFDM wireless communication technology and MATLAB to achieve" source code)