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此为利用小波来进行去噪处理的几种程序举例，期中包括wnoise 函数测试去噪、图像噪声处理、图像用户界面（GUI）的压缩和去噪声处理三方面。(This is to use wavelet denoising examples of several programs, including wnoise function test period denoising, image noise processing, graphical user interface (GUI) of the compression and to deal with three aspects of noise.)

ccaf，cca分析，典型相关分析，主要是典型的相关类型分析。(ccaf, cca analysis, canonical correlation analysis, the typical types of analysis.)

梯度寻优，二阶模型的辨识，结果很准,工业控制热工传递曲线等(Gradient optimization, second-order model identification, the result is quasi-)

source Matlab traites the UWB

这是一个基于matlab语言环境的fastica极其强大的fastica工具箱，以及使用说明。(this is a very powerful matlab fastica toolbox, with the user guide in chinese)

实现圆柱扰流仿真，模拟通道压裂的压裂液流动，分析导流能力及支撑柱的渗透率(Cylinder turbulence simulation is implemented to simulate the flow of fracturing fluid in channel fracturing and analyze the conductivity and permeability of the support column)

说明：  用DE遗传算法整定最优PID控制器，得到控制器最优的三个参数(The optimal PID controller is set by DE genetic algorithm, and the optimal three parameters of the controller are obtained.)

weiner optimal filtering

％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)

2D-DCT 压缩图像后，通过QPSK,AWGN信道编码传输后，IDCT解压缩回原始图像，适用于任何图像(Using DCT to compress the orginal image, I use zigzag program, quantization, dct compression, then change the vector to bineary bit to pass through the QPSK channel. And from the binary array, I use IDCT to reconstructe the orignial image. working perfectly.)