CUMCM-MATLAB

matlab mfiles实例分析，有大量的实例，每个M文件就是一个例子，有很多个。(Matlab mfiles example, a large number of examples, each M document is an example, many months.)

基于matlab采用jpeg压缩 实现对图像的解压缩处理.dct编码等(Achieved using jpeg compression matlab-based image compression solution. Dct coding)

这个工具箱是为了方便图像和视频在 matlab 环境中的操作。其目的是为了补充，而不是替换 Matlab 图像处理工具箱，事实上它需要安装 Matlab 图像工具箱。强调对代码效率和代码重用。(This toolbox is meant to facilitate the manipulation of images and video in Matlab. Its purpose is to complement, not replace, Matlab s Image Processing Toolbox, and in fact it requires that the Matlab Image Toolbox be installed. Emphasis has been placed on code efficiency and code reuse.)

坐标转换（四参数） [row col]=size(source) for i=1:row u(i)=source(i,2) v(i)=source(i,3) x(i)=source(i,4) y(i)=source(i,5) B(2*i-1,1)=1 B(2*i-1,2)=0 B(2*i-1,3)=u(i) B(2*i-1,4)=-v(i) B(2*i,1)=0 B(2*i,2)=1 B(2*i,3)=v(i) B(2*i,4)=u(i) L(2*i-1,1)=x(i) L(2*i,1)=y(i) end X=inv(B *B)*(B *L) Txy=[X(1) X(2)] xzjz(1,1)=X(3) xzjz(1,2)=-X(4) xzjz(2,1)=X(4) xzjz(2,2)=X(3) [row1 col1]=size(target) for i=1:row1 u1(i)=target(i,2) v1(i)=target(i,3) d=[u1(i) v1(i)] md=Txy+xzjz*d end end (Coordinate conversion： [row col]=size(source) for i=1:row u(i)=source(i,2) v(i)=source(i,3) x(i)=source(i,4) y(i)=source(i,5) B(2*i-1,1)=1 B(2*i-1,2)=0 B(2*i-1,3)=u(i) B(2*i-1,4)=-v(i) B(2*i,1)=0 B(2*i,2)=1 B(2*i,3)=v(i) B(2*i,4)=u(i) L(2*i-1,1)=x(i) L(2*i,1)=y(i) end X=inv(B *B)*(B *L) Txy=[X(1) X(2)] xzjz(1,1)=X(3) xzjz(1,2)=-X(4) xzjz(2,1)=X(4) xzjz(2,2)=X(3) [row1 col1]=size(target) for i=1:row1 u1(i)=target(i,2) v1(i)=target(i,3) d=[u1(i) v1(i)] md=Txy+xzjz*d end end )

huffman coding of the bitstream

Matlab讲义高级第5章，大家分享一下(Matlab senior notes in Chapter 5, we share)

Constrained MPC Matlab m-file

结合25个实例，详细介绍了matlab的编程技巧(The combination of 25 instances, details Matlab programming skills)

电力电子、电机控制系统仿真模型 经典仿真源程序 洪乃刚版本(Power electronics, motor control system simulation model version of the classic simulation source Hong Naigang)

Matlab-based optimal excitation control system design，可以使励磁系统优化(Matlab-based optimal excitation control system design)