LMS

这是＜小波分析与信号处理——理论、应用及软件实现＞的电子版书籍(<wavelet analysis and signal processing-- Theory, Application and Software> electronic version of books)

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)... *()

OFDM传输系统的matlab仿真及相关源程序(OFDM transmission system simulation and related source code matlab)

data viewer in gui matlab

similarity measurement ,to get the eigenvalue

一类基于扩张观测器的PID控制算法。Matlab编写的代码，测试效果良好。(A Kind of PID Control Algorithm Based on Expanded Observer. Matlab prepared by the code, the test results are good.)

在MATLAB中利用FFT函数来进行变换，其中利用到了HAMMING窗(Using FFT function in MATLAB to carry out transformation, which used to HAMMING window)

说明：  数字图像的压缩技术，特点压缩比高，压缩速度快(digital image compression technology, features a high ratio, compression speed)

基于压缩感知的云存储系统状态监测方法1001-0505(2013)02-0296-05(State detection method for cloud storage system based on compressive sensing)

farrow滤波器测试实例，包括线性和多项式farrow结构比较，幅度相位比较，以及分数延迟可变的farrow结构(farrow filter testing procedures, structures and linear polynomial farrow farrow structure comparison, fractional delay variable farrow structure instance.)