ch7

FirstData visa/mc/amex Specifications for 2010

说明：  贝叶斯最小错误和最小风险算法，具有界面，分6种情况讨论(Bayes algorithm： Map and min risk)

串级pid控制cstr系统，对于连续系统cstr的各个变量进行先进控制，更好达到控制效果(Pid control cstr cascade system, continuous system for all the variables cstr advanced control and better results to control)

文件夹中包含了一些有关matlab的相关资料，简单易懂，非常适合初学者学习(Folder contains some relevant information related to matlab, simple to understand, very suitable for beginners to learn)

MIMO OFDM matlab仿真,包括面积、周长、矩形度、伸长度，DC-DC部分采用定功率单环控制，利用matlab GUI实现的串口编程例子，代码里有很完整的注释和解释，一个很有用的程序，实现了对10个数字音的识别，matlab编写的元胞自动机。( MIMO OFDM matlab simulation, Including the area, perimeter, rectangular, elongation, DC-DC power single-part set-loop control, Use serial programming examples matlab GUI implementation, Code, there are very complete notes and explanations A very useful program, To achieve the recognition of 10 digital sound, matlab prepared cellular automata.)

这是一个相对完整的OFDM通信系统的仿真设计，包括编码，调制，IFFT，上下变频，高斯信道建模，FFT，PAPR抑制，各种同步，解调和解码等模块，并统括系统性能的仿真验证了系统设计的可靠性。 (This is a relatively complete simulation of OFDM systems design,including coding,modulation,IFFT, up and down conversion, Gaussian channel model, FFT, PAPR suppression of synchronization, demodulation and decoding modules, and systems, including system performance simulation verifies the reliability of system design.)

基于FPGA的增量式PID设计方法，Matlab、Simulink， Xilinx Block set(Incremental PID FPGA-based design methodology)

Matlab的精华在于其丰富的矩阵运算，本文结合《矩阵论》的相关知识，较为详尽地介绍了大量矩阵运算的matlab实现。(Matlab essence lies in its rich matrix operations, this paper " Matrix theory," the relevant knowledge, a more detailed introduction to the large number of matrix operations matlab.)

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命令大全，收录庞大的MATLAB命令，令你在进行数值分析计算时更加方便(MATLAB command Daquan, contains a large MATLAB commands, so that you are going through is more convenient for numerical analysis and calculation)