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说明：  MIMO信道仿真程序，包含多径信道特性，用matlab实现主要功能(mimo simulation)

四旋翼仿真的经典必看文章。很不容易下载到的。包括6个自由度的仿真，模糊pid控制等。希望对大家有用。(Four-rotor simulation of the classic must-see article. Very easy to download. Including six degrees of freedom simulation, fuzzy pid control. I hope to be useful.)

相位编码信号的优化设计及脉压副瓣抑制方法研究(Optimization of the phase coded signals and pulse pressure method for suppressing sidelobe )

其中详细的介绍了matlab中的simulink仿真时ise联合仿真时所用到的system generator的用法，对做fpga很有帮助哦(Described in detail the usage of the system generator used in the joint simulation in matlab simulink simulation ise to do fpga helpful.)

基于matlab，通过焦点计算二维中的图像灭点，以还原成三维图像。(Based on matlab, calculated by the two-dimensional image in the focus off point to restore the three-dimensional image.)

一个实例说明matlab coder的使用方法，可以实现vc++中调用matlab生成的cpp文件进行两个数的乘法计算。(An example shows the use of matlab coder, can call matlab in vc++ cpp files generated multiplication of two numbers.)

包括各种波形函数（含拉普拉斯分布），各种概率密度函数(including many wave function(Laplasse function),many pdf function)

此为层次分析法的MATLAB源程序，并有详细说明(This is the AHP MATLAB source, and a detailed description of)

可自行设置参数产生SCM信道，支持MIMO等功能(can set your own parameter to create SCM channel,support MIMO an other function.)

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 )