dataset

在matlab中完成直流电测深一维正演，并且实现可视化(1d resisitivity sounding based on matlab)

说明：  压缩包为模糊PID控制的直流电机的速度控制系统仿真，可进行相关学习(The simulation of the speed control system of DC motor with the compression package of fuzzy PID control can be used for relevant learning)

此源码是文档simulation.rar__关于光孤子在光纤耦合器中传输的仿真研究的matlab程序(This source is a document about simulation.rar__ optical soliton in optical fiber coupler in the transmission process simulation matlab)

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)... *()

Hotel System Management project

养殖问题中的收益最大化问题 以及 灵敏度的检验(maximize the profit in cultivation)

佛洛依德算法能够求出图中任意两点之间的最短距离(Freud algorithm can find the figure the shortest distance between any two points)

针对极化阵列的波束综合问题，并把这一问题描述成一个凸优化问题。 (For polarization array pattern synthesis problem, and describe it as a convex optimization problem.)

主要利用稳健方法比如迭代算法来对跳频信号在Alpha稳定分布噪声环境下进行参数估计(Main advantage of robust methods such as iterative algorithm for frequency-hopping signals Alpha stable distribution parameter estimation in noisy environments)

NewInt案例，主要是以matlab軟件來運算標準題型。(NewInt cases, mainly matlab software to compute the standard questions.)