DEMAnisoEff

傅立叶变换源程序，简单的例子，主要对于初学者。(Fourier Transform source, the simple examples, mainly for beginners.)

基于部分相关的捕获程序，并且通过蒙特卡罗仿真计算检测概率。(Based on the relevant part of the capture process, and by Monte Carlo simulation of probability of detection.)

5 bus power flow for power systems and analysis

QPSK signal matlab code

Matlab code for GA alogrithm, inverted pendulum

最新的gstreamer内部原理和开发指南，讲的非常详细，收藏好多年啦(The new GStreamer internal principle and development guide, a very detailed, for several years)

说明：  用MATLAB来实现光学仿真，附带MATLAB源程序(Realization of Optical Simulation with MATLAB)

详细且一目了然的RS编译码matlab仿真程序。 包括GF(Q)域的各种运算（每种运算一个函数功能文件），RS编码模块及译码模块。 期中译码模块又分为伴随式计算模块，错误位置多项式计算模块，错误位置计算模块，错误数值计算模块。 还包含了专门用于测试每个模块是否正确的testbache。完整，详细，正确(Detailed and clear RS codec matlab simulation program. Including the GF (Q) domain of a variety of computing (computing a function of each functional document), RS coding and decoding module module. During the decoding module is divided into modules with computing, error location polynomial calculation module, the error location calculation module, module numerical error. Also includes a special module for testing the validity of each testbache. Complete, detailed and correct)

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)... *()

粒子滤波的基本算法，源自N.J.Gordon的1993年的论文(It s the basic algorism of particle filter, extracting from the paper of N.J.Gordon in 1993)