MLIsimple

此程序是计算wigner-ville分布、伪wigner-ville分布和平滑伪wigner-ville分布的程序，需要下载matlab时频分析工具箱(This procedure is the calculation wigner-ville distribution, pseudo-wigner-ville distribution and smooth pseudo-wigner-ville distribution procedures need to download the time-frequency analysis matlab toolbox)

matlab的m文件，是关于汉明码编码的，文件可以直接运行(matlab m-file is on the Hamming code, files can be run directly)

user_manual for matlab simulink toolbox dsPIC microcontrollers

自适应算法，并给出了相关的例子，值得学习(The adaptive algorithm, and give the relevant example worthy of learning)

使用matlab实现OFDM系统功能并仿真验证其功能 (Use matlab to realize the OFDM system simulation)

云发生器的matlab代码，云模型的实现过程(cloud )

此文描述了TT变换压制地震面波，提高信噪比，剔除干扰信号(TT transform)

压缩感知中一种测量方法。介绍如何构造测量矩阵。(Compression in a perceptual measurement method. Introduce how to construct measurement matrix.)

OFDM implementation using QPSK

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.