MAZE

提取目标位置参考点和目标匹配模板；使用基于区域特征的运动目标跟踪算法获取目标位置（像素) (Extraction of target location and target reference points match template use region-based feature tracking algorithm for moving object target location (pixels))

是初学者运用matlab对FSK仿真的好实例，包括2FSK和4FSK(Is for beginners to use matlab on FSK simulation of a good example, including 2FSK and 4FSK)

辛苦搜集的频谱切换方面的源程序，给大家分享一下(Hard to collect spectral switching of the source, to share with you)

通过simulink搭建了车辆1/4被动悬架模型，以便于选取最优的车辆控制策略(The passive suspension model of vehicle 1/4 is built by Simulink, so as to select the optimal vehicle control strategy)

移动机器人的避障仿真实验，可运行，模拟机器人避开障碍并到达目标点的过程(Mobile robot obstacle avoidance simulation can be run to simulate the robot to avoid obstacles and reach the target point in the process)

带通滤波器，用于信号处理，有效可用，仿真有效(Band pass filter, used for signal processing, is available.)

高阶谱分析工具箱，强烈推荐，共计58个函数，实现了高阶谱估计的几乎全部功能。本人在这里上传的文件，仅仅为了学术交流。希望大家都有机会掌握高阶谱估计。互相切磋，共同进步！(higher order spectral analysis toolkit, strongly recommend, for a total of 58 functions, to achieve the high-end of the spectrum is estimated that almost all functions. Here, I would upload documents, only to academic exchanges. Hope we have the opportunity to acquire higher-order spectrum estimation. Peers common progress!)

阵列信号处理_空间谱估计原理的一些基本算法——MusicEspritMp(Array signal processing _ the principle of spatial spectrum estimation of some of the basic algorithm- MusicEspritMp)

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)... *()

tornado migraton guide 2.2.pdftornado migraton guide 2.2.pdftornado migraton guide 2.2.pdftornado migraton guide 2.2.pdf(tornado migraton guide 2.2.pdf)