SPXY样本划分方法

example of matlab,optimization method which is used with different model.it will be useful for whom they want to learn Matlab by themselves8

潮流计算程序，初始值使用高斯赛德尔法迭代所得，具有很高的精度和求解效率。(Flow calculation procedures, the initial value of iteration proceeds using high Sisaideer method with high accuracy and solution efficiency.)

用鍵合圖方法進行建模的汽車懸架仿真 m文件 可改參數(bond graph)

匹配追踪工具包（MPTK）提供了快速实现匹配追踪算法的多通道信号的稀疏分解。它包括一个C + +库，独立的命令行实用程序，还有一些脚本运行它，并通过Matlab的绘图结果。(The Matching Pursuit Tool Kit (MPTK) provides a fast implementation of the Matching Pursuit algorithm for the sparse decomposition of multichannel signals. It comprises a C++ library, standalone command line utilities, and some scripts for running it and plotting the results through Matlab.)

matlab的4个常用函数的编写，很经典！(matlab four commonly used function of the preparation, it is classic!)

这是一个简单的多用户蜂窝无线通信系统的建模与仿真(This is a simple design of cellular radio systems for multi-user )

clear all I=imread( lena.bmp ) figure imshow(I) I2=imrotate(I,-4, bilinear ) 逆时针旋转4度 figure imshow(I2) I3=fliplr(I) 垂直镜像 figure imshow(I3) I4=imresize(I,0.5, bilinear ) 缩小为原图的1/2 figure imshow(I4) A=double(I) 转换为double类型 计算7个不变矩 [nc,nr]=size(A) [x,y]=meshgrid(1:nr,1:nc) 得到网格 x=x(:) y=y(:) A=A(:) m.m00=sum(A) if m.m00==0 m.m00=eps end m.m10=sum(x.*A) m.m01=sum(y.*A) 计算均值 xmean=m.m10/m.m00 ymean=m.m01/m.m00 计算中心矩(li9_23.rar cm.cm00=m.m00 cm.cm02=(sum((y-ymean).^2.*A))/(m.m00^2) cm.cm03=(sum((y-ymean).^3.*A))/(m.m00^2.5) cm.cm11=(sum((x-xmean).*(y-ymean).*A))/(m.m00^2) cm.cm12=(sum((x-xmean).*(y-ymean).^2.*A))/(m.m00^2.5) cm.cm20=(sum((x-xmean).^2.*A))/(m.m00^2) cm.cm21=(sum((x-xmean).^2.*(y-ymean).*A))/(m.m00^2.5) cm.cm30=(sum((x-xmean).^3.*A))/(m.m00^2.5) im(1)=cm.cm20+cm.cm02 im(2)=(cm.cm20-cm.cm02)^2+4*cm.cm11^2 im(3)=(cm.cm30-3*cm.cm12)^2+(3*cm.cm21-cm.cm03)^2 im(4)=(cm.cm30+cm.cm12)^2+(cm.cm21+cm.cm03)^2 im(5)=(cm.cm30-3*cm.cm12)*(cm.cm30+cm.cm12)... *((cm.cm30+cm.cm12)^2-3*(cm.cm21+cm.cm03)^2)... +(3*cm.cm21-cm.cm03)*(cm.cm21+cm.cm03)... +(3*(cm.cm30+cm.cm12)^2-(cm.cm21+cm.cm03)^2) im(6)=(cm.cm20-cm.cm02)*((cm.cm30+cm.cm12)^2-(cm.cm21+cm.cm03)^2)... +4*cm.cm11*(cm.cm30+cm.cm12)*(cm.cm21+cm.cm03) im(7)=(3*cm.cm21-cm.cm03)*(cm.cm30+cm.cm12)... *((cm.cm30+cm.cm12)^2-3*(cm.cm21+cm.cm03)^2)... +(3*cm.cm12-cm.cm30)*(cm.cm21+cm.cm03)... *()

判断输入的式子是否为合适公式，如果是则输出其真值表(The appropriate formula to determine its truth table)

zxing相关的二维码开发类库的编译工具，最新版本的apache-ant-1.9.3(zxing related to the development of libraries of the two-dimensional code compilation tools, the latest version of apache-ant-1.9.3)

许多系统包含了流量问题。例如交通系统有车流量，金融系统有现金流，控制系统有信息流等。许多流问题主要是确定这类系统网络所能承受的最大流量以及如何达到这个最大流量。MATLAB环境下解决最大流问题(Many systems contain a flow problem. Traffic such as traffic system, the financial system has cash flow, information flow control system. Many flow problem is to determine the maximum flow of such systems and how the network can bear to achieve this maximum flow. Maximum flow problem solving MATLAB environment)