sep96

simple tool to calculate laminate stresses/strains

说明：  这里总结了一些光子晶体的重要概念，对学习光子晶体初学者有很大的帮助(Summarized some of the important concepts of photonic crystals, photonic crystals for learning very helpful for beginners)

本程序是经典的无线传感器网络的Leach协议。(The programe is classic la location algrithom.)

this is matlab code of time series prediction . Mackey-Glass Time Series Forecasting using Method 1 Single Stage Fuzzy Forecaster.

自适应代码，根据论文写得，结果和论文一样，可供参考。(Adaptive code, according to papers written, and papers as a result, for reference.)

多目标粒子群算法，模拟传感器布置的，又需要的小盆友可以过来拿(MOPSO algorithm)

实现VC与MATLAB的无缝对接，让您能轻松的将matlab程序移植到VC平台，并能脱离matlab平台运行，程序中使用了matcom进行编程，并有详细的调试说明。绝对值得下载哦。。。(VC and MATLAB to achieve a seamless connection, so you can easily migrate to matlab program VC platform and can run from the matlab platform, procedures matcom used to program and debug a detailed description. Oh, definitely worth downloading. . .)

说明：  按复调制原理编制复调制频率细化函数，分主函数和调用函数。(By re-establishment of complex modulation frequency modulation principle of detailed functions, sub-master functions and call functions.)

a=load( q.txt ) width=input( 请输入窗宽 ) step=input( 请输入步长 ) m=length(a) for i=1:floor((m-width)/step+1) s(i,1:width)=a(1,1+(i-1)*step:width+(i-1)*step) end b=max(max(s)) M=s./b Rs=input( 请输入本体集半径 ) nd=input( 请输入检测器数模 ) k=1 while k<=nd d{k}=rand(1,width) for i=1:floor((m-width)/step+1) if (norm(d{k}-s(i,:)))^2<Rs break end end k=k+1 end for j=1:nd for i=1:floor((m-width)/step+1) R(i)=(norm(d{j}-s(i,:)))^2(a = load (' q.txt' ) width = input (' Please enter the window width' ) step = input (' Enter step size' ) m = length (a) for i = 1: floor ((m-width)/step+1) s (i, 1: width) = a (1,1+ (i-1)* step: width+ (i-1)* step) end b = max (max (s)) M = s./b Rs = input (' Please enter the body set radius' ) nd = input (' Please enter the number of detector modules' ) k = 1 while k < = nd d {k} = rand (1, width) for i = 1: floor ((m-width)/step+1) if (norm (d {k}-s (i ,:)))^ 2 <Rs break end end k=k+1 end for j=1:nd for i=1:floor((m-width)/step+1) R(i)=(norm(d{j}-s(i,:)))^2)

图像取证，可用于检测图像CFA插值，并给出正确结果(image forensic)