weight_centre

it gives breif introduction to the matlab by giving the introduction to the image processing techniques

matlab经典算法的程序,包括插值拟合、绘图、解方程、规划等. (Classical algorithm for matlab)

利用matlab进行一些金融工程分析，书内包括一些程序范例(Quantitive analysis using matlab.)

DTFT plot the spectrum of a sinusoidal signal

这是Thomas Schonhoff编写的信号检测预估计课本的对应的英文课件，对于学习这本书的学者有很大的帮助(This is Thomas Schonhoff textbooks written in signal detection to estimate the corresponding English courseware, scholars to study this book has a lot of help)

提取子波代码研究. Wavelet extraction.(Wavelet extraction.)

MATLAB实现振动信号频域处理：随机信号谱分析和利用窗函数实现(MATLAB realization of vibration signals in the frequency domain processing: random signal spectrum analysis and the use of window function to achieve)

this is the true algorithme

运用LMS算法对4QAM信号实现在水声信道中的均衡(underwater channel equiption using LMS algorithm)

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.