EE6730-Lab2-Qiang-Li

2008年出版的，最新的第四版的讲信号与系统建模和simulink的书籍，很是适合通信专业的参考！同时也可以作为matlab扫盲的书(Published in 2008, the latest talk about the fourth edition of Signals and Systems Modeling and simulink books, it is a reference for communication professionals! At the same time can also book as a literacy matlab)

matalab一些关于金融的工具箱，希望能给大家共享(matalab about the financial toolbox, hope that I can share)

序列卷积代码，非常好用序列卷积代码，非常好用(Sequence convolution code, very easy to use)

plane wave expansion for 2D and 3D photonic crystal band gap calculations

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)... *()

单一应变量，pls编程，内容详细主要并有误差分析(Single strain, pls programming, detailed error analysis of the major and have)

对图片中的人脸进行检测和标注，是用MATLAB来实现的(pictures of the human face detection and tagging is used to achieve the MATLAB)

4Almost Perfect Reconstruction Filter Bank for Non-redundant hosseini_ complex wavelet_06_5045[1]

说明：  利用matlab实现对DFT离散傅里叶算法对数字信号的处理。(Using DFT and FFT to realize discrete processing of digital signal in Matlab environment)

掷骰子，计算概率，大量模拟次数，趋近理论值结果(Dice, calculate the probability of a large number of simulation times, reaching the theoretical results)