Mptscextyuanso

this project is my first project. this is simple game .

产生与故障相关的随机数,包括故障名称，列车编号，车厢类型等，可随意增加。(Generate random numbers associated with the fault, including the fault name, train number, car type, etc., can be increased.)

针对相干信号的DOA估计，对常规Music，空间平滑Music，双向空间平滑Music，传统LSESPRIT，TEOPLITZ-ESPRIT算法进行仿真并比较(DOA Estimation of the most classic super-resolution algorithm MUSIC and ESPRIT algorithm simulation of irrelevant signals estimates for the coherent signals DOA, conventional Music, spatial smoothing Music, bidirectional spatial smoothing Music, traditional LSESPRIT, TEOPLITZ-ESPRIT algorithm simulation and compare)

人脸识别中的matlab算法，人脸前期处理，希望对大家有用(of Matlab face recognition algorithm, face pre-processing, it may be useful to hope)

说明：  标准遗传算法与多种群遗传算法Matlab代码，求解函数最值，GA包含交叉变异。多种群遗传算法MPGA包含移民操作。(the standard genetic algorithm and a variety of group genetic algorithms matlab code to solve the function maximum, GA contains cross variation. multiple group genetic algorithms MPGA contain immigration operations.)

采用单一感知器神经元解决一个简单的分类问题，将四个输入矢量分为两类，其中 ％ 两个矢量对应的目标值为1，另两个矢量对应的目标值为0(single perceptron neural yuan to solve a simple classification, four input vectors are divided into two categories. 2% which the vector corresponding to a target value, and the other two vector corresponding to the target value of 0)

simulation signal ofdm

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)

粒子滤波例程，用于无杂波环境下的目标跟踪。(Particle filter routines for non-target tracking in clutter.)

matlab code about lagrange GPS