OQPSK调制与解调，以及误码率分析

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)... *()

wave propagation in a dielectric slab

独立分量分析中的cubica34a代码 matlab格式 希望有用 (independent component analysis of Matlab code cubica34a hope useful format)

The aim of this book is to teach you the ssentials of spectral collocation methods with the aid of forty short Matlab programs, or M-les

说明：  基于先进信号预处理和自回归建模的滚动轴承故障诊断方法(A fault diagnosis methodology for rolling element bearings based on advanced signal pretreatment and auto regressive modelling)

使用matlab实现FIR滤波器的50Hz陷波器设计，简单实用(Use matlab 50Hz notch FIR filter design, simple and practical)

基于OFDM的仿真程序，完整版，已完成仿真，并验证可行(Based on OFDM simulation program, the full version, simulation has been completed, and validation is feasible)

用MATLAB2008A编写的主成成分分析(MATLAB2008A prepared by Principal Component Analysis)

基于matlab的预测控制仿真教程，英文版，非常详细，很有借鉴意义。(Matlab simulation-based predictive control tutorial, English, very detailed, useful reference.)

说明：  使用matlab工具箱进行的图像配准，需提取特征点来实现配准(Using matlab toolbox for image registration, extraction of feature points needed to achieve alignment)