FDTD

introduction of Matlab.

基于Matlab simulink搭建的异步电机仿真模型，可以运行(Based on the the Matlab simulink build asynchronous motor simulation model can be run)

利用basis pursuit算法计算图形重建，利用compressive sensing技术使用较少的数据进行图形恢复(Use basis pursuit graphic reconstruction algorithm using compressive sensing technology uses less data graphically recovery)

对qpsk一个整体的仿真，从源信号的生成，调制，加载波，解调等，步骤清晰，与通用教材原理图逐步仿真而来(Qpsk simulation of a whole, the signal generated from a source, modulation, plus carrier demodulation step clarity, and general simulation of materials gradually from the schematic)

基于mpsk的载波恢复,有完整的simulink模型，可以观察星座图(carrier recovery of Mpsk)

一个详细介绍如何使用Matlab中的Simulink的PPT(A detailed description how to use Matlab in Simulink to PPT)

An matlab introduction lecture note in MIT

Model Predictive Control Toolbox

matlab程序画图，常见分形图，function cantor(A,B) c=1 p=0 figure hold on plot([A(2) B(2)],[A(1) B(1)], r* ) while norm(A(1,:)-B(1,:))>=1 C=[] D=[] for i=1:size(A,1) a=A(i,:)+(B(i,:)-A(i,:))/3 b=A(i,:)+2*(B(i,:)-A(i,:))/3 C=[C A(i,:) b] D=[D a B(i,:)] end A=C B=D p=p+1 (matlab program drawing, common fractal images function cantor(A,B) c=1 p=0 figure hold on plot([A(2) B(2)],[A(1) B(1)], r* ) while norm(A(1,:)-B(1,:))>=1 C=[] D=[] for i=1:size(A,1) a=A(i,:)+(B(i,:)-A(i,:))/3 b=A(i,:)+2*(B(i,:)-A(i,:))/3 C=[C A(i,:) b] D=[D a B(i,:)] end A=C B=D p=p+1 )

helpfull material about matlab and simulink review and commands