Matlab与VC方法

face detector for facing to detect automatic without any sample

In the field of mathematical modeling, a radial basis function network is an artificial neural network that uses radial basis functions as activation functions.

用matlab编写的磨削砂轮高斯表面,可用于影响磨削性能的参数分析(grinding wheel Gaussian surface prepared with matlab)

matlab的s函数编程教程。来自企业的电子书(matlab s function programming tutorial. From the corporate e-book)

testing for matlab project

用自适应门限的方法进行跳频信号的参数估计，取得了较好的效果(Adaptive threshold method estimates the parameters of frequency hopping signals, achieved good results)

游程检验,适用于数学学习学生，或者计算机方面需要的研究者(Runs test for students of mathematics learning, or the computer needs of researchers)

基于聚类的K中心点算法，附带说明文档，代码简单高效，很好的利用了矩阵的代数运算。数学思想较为高深，但通过仔细研读说明文档和动手操作，matlab数学分析能力可以得到有效的提高(K medoids clustering annotated document, the code is simple and efficient, good use of matrix algebra operations. Mathematical thinking is more profound, but by carefully studying the documentation and hands-on the Matlab mathematical analysis ability can be effective to improve)

说明：  一些适合初学者的MATLAB程序代码，以及功能介绍。(Some MATLAB code for beginners, and Function.)

％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)