filter

this articl is about the LNMs,and it used the drude model to compute the materials property ,and is also a good example the tell FDTD applications!

目标跟踪算法，运用交互多模型算法的卡尔曼滤波器。有文档，有程序，适用于初学者(Target tracking algorithm, using interactive multiple model Kalman filter algorithm)

由于libsvm的matlab版本的工具箱libsvm-mat并没有给出寻参的函数模块，而无论利用libsvm工具箱进行分类还是回归，参数的选取是十分重要的，鉴于此libsvm-mat-2.89-3[FarutoUltimate3.0]在 libsvm-mat-2.89-3的基础上给出相应的辅助函数插件，方便用户来选取最佳的参数，现对该工具箱里主要的辅助函数插件的接口进行介绍。(As the matlab version of the toolbox libsvm libsvm-mat and did not give to find a function module parameters, regardless of classification using libsvm toolbox or regression, parameter selection is very important, in view of the libsvm-mat-2.89-3 [ FarutoUltimate3.0] in libsvm-mat-2.89-3 is given on the basis of the corresponding auxiliary function plugin user to select the best parameters, the toolbox is the main interface to plug the auxiliary functions are introduced.)

matlab迭代法代码，很不错，值得看看(iterative method matlab code, very good, worth a look)

：滤波 fs=400 采样频率,必须大于两倍基带信号最高频率 ts=1/fs 采样时间间隔 T=5 时间窗大小 t=0:ts:T (hf1=zeros(1,N) hf1(f<=B1&f>=-B1)=1 y1=hf1.*fftshift(y) figure subplot(211) plot(f,abs(fftshift(y))/N,f,hf1, r-- ) axis([-fs/2,fs/2,0,1.2]) title( 原信号频谱 ) xlabel( f /Hz ) subplot(212) plot(f,abs(y1)/N) title( 低通滤波，截止频率90Hz ) xlabel( f /Hz ))

一元多项式的计算 有输入多项式项 有加法项 有减法项 有乘法项等(Unary polynomial calculation)

lssvm All plotting is done with this simple command. It looks for the best way of displaying the result

VB and matlab混合编程实现，用VB输入命令，matlab后台运算，是混合编程的基础程序！（需要安装matlab才能正常运行）(VB and matlab Matlab, using VB input command, matlab computing background is the basis of mixed programming process! (Need to install matlab to work properly))

freeman_2components_decomposition_T3 效果不错(freeman_2components_decomposition_T3 have a good result)

使用有限时域差分法，用matlab模拟三维光子晶体(the simulation of TM mode in three-dimensional photonic crystals)