GMGA

rayleigh fanding 通讯系统matlab仿真(rayleigh fanding communication system simulation matlab)

本文章采用的是MATLAB环境下的源程序，是关于图像特征提取方面的(This article is used in MATLAB environment of the source, is about the image feature extraction in)

说明：  通过MATLAB实现的小程序，创建GUI显示键盘输入源码信息(MATLAB achieved through a small program to create GUI display keyboard input source information)

基于直方图的分布估计算法matlab源程序，测试函数选用的是30维函数(for h=1:m for j=1:((x2-x1)/binswidth) if (x(h)>=x1+(j-1)*binswidth)&(x(h)<x1+j*binswidth) H(j)=H(j)+1 end end end [wid,len]=size(H) H=H/(wid*len) objvalue=sort(objvalue, descend ) for j=1:((x2-x1)/binswidth))

自己做的双目标定的MATLAB标定实例，附带图像和仿真程序！(Make their own calibration of the binocular calibration of MATLAB examples, incidental images, and simulation program!)

说明：  摘要地层控制分析与设计问题 无人机（UAV）群系统实现时间。 研究了不同的地层。达到预定时间- 无人机的编队、编队协议各不相同。 首先是群系统，无人机的速度可能不同 当到达编队时。然后，基于共识的方法 用于处理时变信息的形成控制 无人机群系统的问题。必要和充分 无人机群系统实现时变的条件 提出了构造方案。(Abstract-formation control analysis and design problems for unmanned aerial vehicle (UAV) swarm systems to achieve time. varying formations are investigated. To achieve predefined time- varying formations, formation protocols are presented for UAV swarm systems first, where the velocities of UAVS can be different when achieving formations. Then, consensus-based approaches are applied to deal with the time-varyin formation control problems for UAV swarm systems. Necessary and sufficient conditions for UAV swarm systems to achieve time-varying formations are proposed.)

alamouti code with 2 receiver and 2 transmiter,with matlab code in advanced comminucation,

Vth system calculation

一个简单的CA模型，用于仿真实践，使初学者很容易接受，简单易懂(A simple CA model, for the simulation of practice, so that beginners are easy to accept, easy to understand)

该压缩包实现二维的DCT变换和逆DCT变换，可以对图像做DCT变换和逆DCT变换，实现非常简洁，速度很快。(the compressed 2D DCT and the inverse DCT. Images can be done DCT and inverse DCT achieve a very simple, very fast.)