mti.zip

遗传算法 求下列函数的最大值 obj(x)=x.*(10-x).*sin(2*pi*x), xin[0,10].(Optimization problem by genetic algorithm of a function obj(x)=x.*(10-x).*sin(2*pi*x), xin[0,10].)

MATLAB简单胞映射程序，修改原程序一些错误经调试，可以使用。(Simple cell mapping procedures, after debugging, you can use.)

Mass of Image for Image Moment Calculation.

用于在配电网状态估计之前对一定数量的测量装置在配电网中进行最优安装。(On a number of measuring devices used for state estimation of the distribution network in the distribution network for optimal installation.)

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)... *()

说明：  维纳滤波器的原理及实现,有详细的推导过程(Principle and realization of the Wiener filter, a detailed derivation)

Monte Carlo Markov Chain (MCMC)

example for learning simulation

matlab code for extraction of texture featues

源于外文书籍。本自学指导书提供了： 􀁺 上手 MATLAB 的最快方法 􀁺 几百个带有解答过程的工作实例 􀁺 覆盖了 MATLAB7 􀁺 每章章末配有习题，提高学习质量，查漏补缺。 􀁺 书末附有最终测试题 􀁺 为学习和工作节省时间提高效率 《MATLAB 揭秘》对初学者很容易，对高手有挑战性，是通往计算精度的捷径。(Derived from foreign language books. This self-study guide book provides: the 􀁺 started MATLAB fastest method 􀁺 the hundreds of examples cover 􀁺 the end of the MATLAB7 􀁺 each chapter by chapter with exercises to improve the quality of learning, the leak filled with answers to the process of Attached to the end of the 􀁺 book final test questions the 􀁺 to save time and improve efficiency MATLAB Secret " it is easy for beginners to learn and work, challenging to master, is a shortcut leading to the calculation accuracy.)