PPT

基于近邻法的相关MATLAB实验方法，课件。，(Based on the MATLAB nearest-neighbor method clip algorithm experiment, the source code, and data analysis )

粗糙集中用于数据约简的算法的matlab源代码(Rough set theory for data reduction algorithm matlab source code)

Training software for Markov Random Fields used at INRA

matlab时频分析配套源码第4章的程序，请大家共享(Matlab time-frequency analysis supporting source code, Chapter 4, please share)

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 )

这是一个用FDTD算法计算三维泄漏同轴线的辐射和传播特性的matlab程序.采用MUR吸收边界条件,对于学习FDTD方法中的建模,近-远场外推,吸收边界设置等很有帮助(This is a three-dimensional calculation of radiation and propagation characteristics of the leakage coaxial with the FDTD algorithm matlab program uses MUR absorbing boundary conditions for modeling learning FDTD method, near- far extrapolation, absorbing boundary settings, and so helpful)

This program is fitting-programming.

中心极限定理的仿真，利用matlab实现，很好的例子啊(The Central Limit Theorem simulation using matlab to achieve a good example)

光波导中有关模式 光纤光栅反射铺，透透射普的图像仿真程序源码 (Mode fiber waveguide grating Shop, and let in to shoot the image simulation program source code of the S & P)

用四元十字阵做被动声定位算法设计，现在是用matlab神经网络工具箱构建RBF神经网络然后仿真显示图形(With a four-element Array do passive acoustic localization algorithm design, now using matlab neural network toolbox and then build on RBF neural network simulation display graphics)