spatialPattern.m

％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)

应用matlab实现了二维的有限差分正演，是实现地球物理正演模拟方法的基础。(Applied to achieve a two-dimensional matlab finite difference forward, is to achieve geophysical forward modeling approach is based on.)

电力电子、电机控制的仿真模型，异步电机无速度传感器控制(The simulation model of power electronics, motor control, induction motor speed sensorless control)

一个关于网页设计的简单有效的matlab编码(A simple and effective web design matlab coding)

below is the matlab code for the rls algorithm for noise cancellation.can anybody explain me clearly what the code does with an example of N .

SSA奇异谱分解，用于在时频域分析信号成分，重构信号(SSA singular spectrum decomposition is used to analyze signal components and reconstruct signals in time-frequency domain)

迭代自组织数据分析，是本科毕设的题目，使用高阶累积量对MPSK信号进行调制识别。( Iterative self-organizing data analysis, The title of the commercial is undergraduate course you Using high-order cumulants of MPSK signal modulation recognition.)

数字信号处理 )丁玉美，标准课件，PPT形式，很强大 很实用(Ding Mei, digital signal processing) standard courseware, PPT form, very powerful and very practical)

Decision region vector For the decision region Number of bins for the data Percentage of incorrectly assigned samples at a nod Unknown command option This function recieves a parameter vector and returns it s components The parameter vector is completely numeric. This is much simpler Percentage of incorrectly assigned samples at a node

编的不好,谨供参考,有问题请指出,互相学习,谢谢大家 (Make up is not good, we would like to for reference, there is a problem please point out, learning each other, thank you )