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clear all clc t=0:1/1000:10-1/1000 s=sin(2*pi*t) snr=20 s_power=var(s) varience of s linear_snr=10^(snr/10) factor=sqrt(s_power/linear_snr) noise=randn(1,length(s))*factor x=s+noise Ó É SNR¼ Æ Ë ã Ë æ » úÔ ë É ù x1=noise Ô ë É ùÔ ´ Ê ä È ë x2=noise w1=0 È ¨Ï µ Ê ý ³ õ Ö µ w2=0 e=zeros(1,length(x)) y=0 u=0.05 for i=1:10000 LMSË ã ·¨ y(i)=w1*x1(i)+w2*x2(i) e(i)=x(i)-y(i) w1=w1+u*e(i)*x1(i) w2=w2+u*e(i)*x2(i) end figure(1) subplot(4,1,1)

This is a beta version of the superpixel code. It hasn t been thoroughly tested on different architectures. It was tested on a Linux system with Matlab 7.1, with gcc and g++ compilers. (The random walker algorithm was introduced in the paper: Leo Grady and Gareth Funka-Lea, Multi-Label Image Segmentation for Medical Applications Based on Graph-Theoretic Electrical Potentials , in Proceedings of the 8th ECCV04, Workshop This is a beta version of the superpixel code. It hasn t been thoroughly tested on different architectures. It was tested on a Linux system with Matlab 7.1, with gcc and g++ compilers. )

MATLAB_SIMULINK MATLAB_SIMULINK 编程方法，优秀的入门资料。(MATLAB_SIMULINK MATLAB_SIMULINK programming methods, excellent introductory information.)

该程序可用于近红外光谱二阶求导预处理，经本人实测，程序可用。(The program can be used near-infrared spectroscopy second derivative pretreatment, as I found, the program is available.)

利用matlab实现svm函数包的调用，在人脸数据库yale上进行人脸识别(using matlab to apply function svm to achive scan face on the data of yale )

Duda《模式分类》第二版第1、3、5章部分课后习题和上机题的解答和程序代码(Duda pattern classification, the second edition of the first chapter 1,3,5 some after-school exercises and answers questions on the machine and program code)

在本程序中，轻松实现了阵列信号角度的估计。(In this program easily estimate of the angle of the array signal)

锁相环的matlab实现及仿真，PPL原理及仿真(Phase-locked loop matlab implementation)

考虑了瑞利衰落信道下的情况,设置了5,10,20条多径,有完美的仿真结果(consideration of Rayleigh fading channels under the conditions, the number of trails 5, 10, 20, a perfect simulation results)

一个微软专家讲解的在mobile下开发时的一个测试视频(An expert on Microsoft in the mobile under development at the time of a test video)