PSD

设计了信息在空间传输的莱斯信号模型,当接收端存在一个主要的静态信号时，如LOS分量（如在郊区和农村等开阔区域中）等，此时接收端接收的信号的包络就服从Rician分布。(Rician signal model)

This file is implementing a bluetooth system which is equipped with frequency hopping method, this method is used for system protection against jamming, This is a matlab simulink file.

说明：  多载荷多工况的结构拓扑优化代码，matlab实现(Structural Topology Optimization Code for Multi-load and Multi-working Conditions)

说明：  qpsk在不同噪声环境下的星座图程序和产生的qpsk与其他信号的比较(qpsk different noise environment in the constellation process and the resulting qpsk comparison with other signals)

这是升余弦滚降系统，包括时域波形，付氏变换，功率普分析，以及眼图，很有用的(Raised Cosine system, including time-domain waveform, Fourier transform, power & P analysis, and eye diagram, a very useful)

基于傅里叶变换的matlab下的二维周期性光子晶体带隙的计算绘图程序，属于冷门资料，网上很少见。(Based on Fourier transform matlab under the two-dimensional periodic photonic bandgap calculation drawing program, belonging to popular information, online rare.)

说明：  有关图像去噪和调节对比度……………………………………………………(about graghic processin .basic ………………………………………………)

This program implements a clean version of Particle Swarm Optimization

基于MATLAB的三维彩色点云的显示，真彩色，支持.ply格式，内附.ply格式的点云，(MATLAB 3D Point Cloud Processing)

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)... *()