power_converter1

用于脑电信号特征提取的InfoMax Algorithm Based on ICA；也可以稍作改动用于其他信息提取。(for feature extraction InfoMax Algorithm Based on ICA; Minor modifications can be used to extract other information.)

说明：  追踪法制导模拟matlab编码。动态模拟。(Legal guide track simulation matlab code. Dynamic simulation.)

MATLAB实现单神经元PID控制，在智能控制算法中，运行结果较好。(MATLAB single-neuron PID control, intelligent control algorithm, the results better.)

雷达的杂波特性及杂波抑制技术，对这些雷达信号传播过程的的杂波建模及仿真方法有非常重要的指导意义(Clutter characteristics and clutter suppression technology, a very important guiding significance clutter on radar signal propagation process modeling and simulation methods)

AN IMPORTANT class of theoretical and practical problems in communication and control is of a statistical nature.

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)... *()

ZF-MMSE预均衡，代码真实有效，可使用。。。。。。(ZF-MMSE pre-equalization, code is valid, can be used. . . . . .)

仿照三星二维Hamming纠错,能在长信息元中纠正1-bit错误(Two-dimensional Hamming error correction along the lines of Samsung)

matlab例题源代码，包含很多典型的例题，很值得借鉴学习。(Example matlab source code contains many typical Example, it is worth learning to learn.)

基于matlab的遗传算法程序 供来参考(Matlab-based Genetic Algorithm for reference)