function_MATLAB

带有滞后环节的系统仿真，在matlab环境下对有滞后的系统进行仿真，模拟并分析(With lags system simulation in Matlab environment lag system simulation, simulation and analysis)

TextField.getDepth 返回文本域的Depth（深度） TextField.getNewTextFormat 获得最新加入文本的默认文本格式 TextField.removeTextField 删除使用MovieClip.createTextField创建的文本域 TextField.setNewTextFormat 对新加入的文本设定为新格式 (TextField. GetDepth returns the text field the Depth (Depth) TextField. Get the latest to join the text getNewTextFormat TextField. The default text format removeTextField delete using the MovieClip. CreateTextField created text field TextField. SetNewTextFormat for new text set to the new format)

matlab课件很有用的,对matlab学习很有帮助,希望采纳谢谢(it s very useful)

music DOA估计算法，能有效地估计出信号的ＤＯＡ(music DOA estimation algorithm can effectively estimate the signal DOA)

采用SVM高斯核，对样本进行分类，输入训练集和测试集，输出SVM分类准确率，采用10折交叉验证(This matlab code uses the SVM(support Vector Machine)to classify, and as the same time it uses the cross validation mathod.)

使用svm进行数据的预测，首先进行pca对数据进行主元分析，提取有用信息，结果显示数据拟合效果非常好(SVM is used to predict data. first, PCA is used to analyze the data and extract useful information. the results show that the data fitting effect is very good.)

说明：  MATLAB教室人数统计（含界面GUI，详细注释，论文） 运行方式 matlab命令窗口输入guide回车 选择fig文件，选择改变路径 运行即可 可二次开发成教室考勤系统，识别出教室里面的人是谁。(Matlab classroom number statistics (including GUI interface, detailed notes, papers) Operation mode Matlab command window input guide enter Select fig file and change path Can run It can be developed into a classroom attendance system to identify who is in the classroom.)

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)... *()

matlab 开发。关于PRONY 估计，用于求解PRONY系数。(matlab development. About PRONY estimated coefficients for solving PRONY.)

this code implement LTE scrambler and LTE descrambler used in the 4G mobiles release 8.parameters of these two blocks are flexible.