lab2

第七章 GUIDE入门 7.1 概述 7.2 图形句柄入门 7.3 GUIDE工具入门 7.4 创建图形用户界面外观 7.5 图形用户界面编程 7.6 常用的图形界面函数 7.7 本章小结 (Chapter VII GUIDE overview 7.2 Introduction 7.1 Introduction 7.3 GUIDE handle graphics tools to create entry-7.4 Appearance 7.5 graphical user interface graphical user interface programming 7.6 graphical interface function commonly used in this chapter 7.7 Summary)

Conjugate gradient method

半波振子的MATLAB仿真 电流 方向性图 立体图 阻抗 增益(Half-wave oscillator of the MATLAB simulation of the current pattern Stereogram impedance gain)

说明：  DGM model generate for serial robot

16QAM的映射图的比较 里面有没有进行信道估计的映射图 和进行了信道估计的映射图(Comparison of 16QAM mapping there are no plans for channel estimation for a map and map channel estimation)

各种doa估计代码，包括均匀线阵，均匀圆阵等的估计。包含music，esprit，空间平滑等(Various doa estimation code, including ULA, uniform circular array of estimates. Including music, esprit, spatial smoothing)

this file is for restructure

TextureAnlysis.m实现遥感图像的纹理分析，以 方向邻域内的灰度均值 和 灰度共生矩阵的熵 作为纹理特征，使用k-means聚类。(TextureAnlysis.m the realization of remote sensing image texture analysis to the direction of the gray-scale neighborhood of the mean and the entropy of gray level co-occurrence matrix as texture features, the use of k-means clustering.)

％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)

some matlab codes for image processing