stripmapSAR-MATLAB

MATLAB2010的教程，电子书籍，很详细(MATLAB2010 tutorials, e-books, very detailed)

本程序介绍了卡尔曼滤波器在雷达跟踪问题上的应用。通过对雷达测得的距离及方位角参数的估计和预测，较好地实现了雷达对目标的跟踪，说明卡尔曼滤波器在自主或协助导航领域中具有重要的现实意义。(This procedure describes the radar tracking Kalman filter in question on the application. Measured by radar distance and azimuth parameter estimation and forecasting, to better achieve the target tracking radar, indicating the Kalman filter in autonomous or assisted navigation has important practical significance.)

gpu tutorial pct demo tor matlab use and for matlab optimization tool for research student of the state of israel the best in the world

一个简单的ISODATA聚类算法的cpp，仅供学习(A simple ISODATA clustering algorithm cpp, only to learn)

游戏“flappy bird”，matlab代码。(Game " flappy bird" , matlab code.)

实现了通信中的MATLAB的最大似然译码操作(implement the ml method in the communication system)

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)... *()

在Matlab中解决实际问题的最优解，此文是具体的代码。(Optimal solution to solve practical problems in Matlab, the article is a specific code.)

Matlab编程实例,合适初学者学习,参考,编程,仿真,很有价值的(Matlab programming examples, suitable for beginners to learn, reference, programming, simulation, great value)

关于恒速风电机机组的matlab仿真，可以了解恒速风电机组的相关运行特性(modeling and simulation of Constant Speed Wind Power Unit This simulation gives an example of Modeling and simulation of Constant Speed Wind Power (CSWP) coupled with wind turbine. Latest researches and developments which have been published in imminent journals, you can get it if you are interested in it. Because of the advantages of the CSWP over other generators it is being used for most of the wind applications. Various researches have been done in modelling and simulation field of CSWP coupled with wind turbine. This simulation visualise the researches in the area of study of CSWP, its modelling, simulation and performance analysis of CSWP coupled with wind turbine. )