Webcam-taking-pictures-procedure

说明：  用matlab求多项式的实根解答的代码，其中包含多种方法。。。(Using matlab to answer the real roots of a polynomial code, which contains a variety of methods. . .)

遗传算法的matlab实现代码，已验证无错误(Genetic algorithm matlab code, verified error)

搭建微网模型，介绍光伏最大功率跟踪，个人感觉很实用(Micro-grid，PV MPPT)

一个mimo系统的程序，其中包括注水定理的函数。(A mimo system procedures, including injection function theorem.)

a=load( q.txt ) width=input( 请输入窗宽 ) step=input( 请输入步长 ) m=length(a) for i=1:floor((m-width)/step+1) s(i,1:width)=a(1,1+(i-1)*step:width+(i-1)*step) end b=max(max(s)) M=s./b Rs=input( 请输入本体集半径 ) nd=input( 请输入检测器数模 ) k=1 while k<=nd d{k}=rand(1,width) for i=1:floor((m-width)/step+1) if (norm(d{k}-s(i,:)))^2<Rs break end end k=k+1 end for j=1:nd for i=1:floor((m-width)/step+1) R(i)=(norm(d{j}-s(i,:)))^2(a = load (' q.txt' ) width = input (' Please enter the window width' ) step = input (' Enter step size' ) m = length (a) for i = 1: floor ((m-width)/step+1) s (i, 1: width) = a (1,1+ (i-1)* step: width+ (i-1)* step) end b = max (max (s)) M = s./b Rs = input (' Please enter the body set radius' ) nd = input (' Please enter the number of detector modules' ) k = 1 while k < = nd d {k} = rand (1, width) for i = 1: floor ((m-width)/step+1) if (norm (d {k}-s (i ,:)))^ 2 <Rs break end end k=k+1 end for j=1:nd for i=1:floor((m-width)/step+1) R(i)=(norm(d{j}-s(i,:)))^2)

有关cognitive radio的内容,对matlab进行的模拟测试,希望对大家有所帮助(the cognitive radio the content of the Matlab simulation tests We hope to help)

MATLAB tutorial file. This will help you in finding out the difficult task being easy after reading this tutorial

遗传算法，一个不错的程序，可以试试看，改进了一点点，大学共同探讨 了(Genetic algorithm (ga), a good program, can try to improve a little bit, the university is discussed )

Very good paper on Neural network algorithm

CFAR阈值 -逆高斯分布的CFAR检测阈值，计算公式带积分，考虑能否用高贵软件小目标CFAR公式阈值代替？？利用查表法！(CFAR threshold- inverse Gaussian distribution of CFAR detection threshold, the formula with integral, consider whether the use of noble software small target CFAR formula threshold instead? ?? Use look-up table method!)