turbocode

KNN是一种有效的模式识别分类算法，本文件在Matlab平台实现KNN算法在模式识别中的运用。(KNN is an effective pattern recognition classification algorithms, this document is in the Matlab platform implementation KNN algorithm in the application of pattern recognition.)

采用Fox-Li数值迭代法，对三种激光器腔镜类型下，激光从初始状态到稳定分布的这一过程进行了MATLAB建模仿真。分析了激光器结构参数的变化对光场稳定所需的迭代次数的影响。(Using Fox-Li numerical iterative method, the three types of laser mirrors, the laser from the initial state to the stable distribution of this process modeling and simulation of MATLAB. Analysis of changes in the structural parameters of the laser light field the number of iterations required to stabilize the impact.)

此为模拟台球动态击球的MATLAB源代码，描述了一个球在桌面某一位置击中另一个球的动态过程。很好的代码，值得学习！(This is a dynamic simulation of billiard ball MATLAB source code, describes the location of a ball hit another ball the desktop of a dynamic process. Good code, it is worth learning!)

用于进行特征选择的方法，可以对数据进行降维，减少冗余。(For the method of feature selection, the data can be reduced and redundant.)

This is book aboud Mobile Broadband Including WiMAX and LTE in English version

various filters using matlab mfile

drive of pmsm with vector control

matlab 40个案例分析 和60个程序代码，很详细，值得入手(matlab 40 case studies and 60 program code, in great detail, it is worth starting)

％radon transform clear all ％ N=800 n=1:N fs=200 t=n/fs x1=exp(j*2*pi*(5*t+0.5*5*t.^2)) x2=exp(j*2*pi*(5*t+0.5*15*t.^2)) x=x1+x2 ％N=length(x) ％ ambifunb(x ) ％*****************************************RAT naf=ambifunb(x) htl(abs(naf)) ％ [wh,rho,theta]=htl(abs(naf)) colormap([0,0,0]) ％ xlabel( 极半径 ) ％ ylabel( 角度 ) ％**************************************％找出峰值点的坐标,计算初始频率和调频斜率(正确) ％找出峰值点的坐标 b=max(max(wh)) [u,a]=find(wh>=0.8*b) ( Radon transformclear all N = 800 n = 1: N fs = 200 t = n/fs x1 = exp (j* 2* pi* (5* t+ 0.5* 5* t. ^ 2)) x2 = exp ( j* 2* pi* (5* t+ 0.5* 15* t. ^ 2)) x = x1+ x2 N = length (x) ambifunb (x)***************************************** RATnaf = ambifunb (x) htl (abs (naf)) [wh, rho, theta ] = htl (abs (naf)) colormap ([0,0,0]) xlabel (polar radius) ylabel (angle)************************************** to find the coordinates of the peak point, calculating the initial slope of the frequency and FM (right) find the peak point of the coordinates b = max (max ( wh)) [u, a] = find (wh)

the difference between images