R

用matlab实现灰度共生矩阵算法，并提取特征量(GLCM with matlab implementation algorithms, and the amount of extracted features)

过程控制中对于加热炉的前馈控制实现，通过精确的模型可以达到完美的控制效果(process control for the heater feedforward control achieved through precise model can achieve perfect control results)

In order to fulfill the implementation of this project there are three main objectives that need to be achieved: 1. To learn and apply a technique for object recognition for single and multiface detection. 2. To examine the principal component analysis (PCA) performance in multiface detection system. 3. To learn and use MATLAB to develop an intelligent system using Image processing tools.

降维工具箱，有PCA，LDA等等比较全面，里面有说明。(Dimensionality reduction toolbox, PCA, LDA, and so a more comprehensive, there are instructions.)

说明：  压缩包内包涵了我所用过的图像融合程序，如小波，PCNN，贝叶斯等算法，仅供参考。(Compression package contains the image fusion procedures I used, such as wavelet, PCNN, Bayesian algorithm, for reference only.)

Mean shift clustering algorithm is trying to help us for data set points clustering.

fm0 encoder and coder

matlab 直接利用鼠标+ - 进行图片局部放大程序，可直接使用。(matlab directly using the mouse+- procedures for enlarged images can be used directly.)

wuyufei的turbo程序，做turbo的人一定要看的matlab程序。(wuyufei the turbo procedure, turbo make sure to look at the matlab program.)

％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)