ssvep

雅戈比迭代法，用于数值分析课，正确，提供简单的参考！(Jacobi iterative method )

说明：  生存分析，学习总结资料和SAS实验.ppt(Survival analysis, study summarizes experimental data and SAS. Ppt)

简单条件下规则二度体重力异常的正演计算-圆柱体(Simple conditions under the rules of the second abnormal weight force of the forward calculation- cylinder)

a program simulating the equation of rate in function of false probablity in radio cognitive network

information coding theory with help of matlab

afsk1200 decoder for windows

RGB Imagen to HSV, it s a matlab file (.m) easier to understand

说明：  matlab遗传算法工具箱，解决遗传算法中函数不识别的现象(matlab genetic algorithm toolbox to solve the genetic algorithm function does not recognize the phenomenon of)

多通道盲源分离（基于极大化非高斯性的负熵算法）源代码(Multi-channel blind source separation (based on the maximization of the negative entropy of non-Gaussian algorithm) source code)

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.