FEM-1

Solution of Laplace equation in an semi-circle region by FEM method

给出了PSNR,MSE的源码，及PSNR的应用例子(Application examples given PSNR, the source of the MSE and PSNR)

formant feature voice its important for extraction 14 coofeecient from lp

MATLAB教程及实例，包括了MATLAB中的大部分函数以及函数应用(MATLAB tutorials and examples, including most of the MATLAB function and function application )

The carpetplot class is a tool to create four variable carpet plots and three variable cheater plots

DD算法实现语音增强，噪声谱估计，根据寂静帧和后面能量的对比来估计(DD algorithm speech enhancement, noise spectrum estimation, based on comparative silence frame and rear energy to estimate)

Numerical Techniques for Unconstrained Optimization with MATLAB

modèle charge generatrice asychrone auto-excite

说明：  matlab-simulink双馈风机的仿真模型(matlab-simulink DFIG simulation model)

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.