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应用FDTD方法计算了光子晶体代隙的程序，这是一个计算二维光子晶体代隙的程序(This program calculate the wave guide by a photonic crystal)

西储大学轴承数据，故障特征频率明显，与理论值基本符合。(The bearing data of Xichuan University have obvious fault characteristic frequency, which is basically in accordance with the theoretical value.)

说明：  ：用NRTL方程，对二元混合物的气一液相平衡数据和液一液相平衡数据进行关联，并用液一液相平衡数据优化所得的参数，预测汽液相平 衡．关联和预测的结果均能满足程设计要求(: The NRTL equation, the binary mixture of gas-liquid phase equilibrium liquid-liquid phase equilibrium data and the data associated with liquid-liquid phase equilibrium data to the optimum parameters to predict vapor-liquid equilibrium. Correlation and prediction results can meet the design process)

fastICA完整matlab代码，有详细fastICA算法代码介绍(fastICA complete matlab code, a detailed description fastICA algorithm code)

<<Matlab_simulink通信系统仿真与建模实例精讲>>光盘内容，包含OFDM通信系统，MIMO通信系统，DS_CDMA通信系统，IS95前向链路系统，读者运行各通信系统的主程序就可以进行系统仿真。(" <Matlab_simulink通信系统仿真与建模实例精讲> " CD-ROM content, including OFDM communication system, MIMO communication systems, DS_CDMA communication systems, IS95 forward link system, the reader of the main program to run the communications system simulation can be carried out.)

采样频率 fs=10000 轴承外环故障信号 fid=fopen( bearingout.dat , r ) 故障 N=1024 xdata=fread(fid,N, int16 ) fclose(fid) xdata=(xdata-mean(xdata))/std(xdata,1) 时域波形 figure(1) plot(1:N,xdata) xlabel( 时间 t/n ) ylabel( 电压 V/v ) db10小波进行4层分解 一维小波分解 [c,l] = wavedec(xdata,4, db10 ) 重构第1～4层细节信号 d4 = wrcoef( d ,c,l, db10 ,4) d3 = wrcoef( d ,c,l, db10 ,3) d2 = wrcoef( d ,c,l, db10 ,2) d1 = wrcoef( d ,c,l, db10 ,1) ( Sampling frequency fs = 10000 bearing outer ring fault signal fid = fopen (' bearingout.dat' , ' r' ) failure N = 1024 xdata = fread (fid, N, ' int16' ) fclose (fid ) xdata = (xdata-mean (xdata))/std (xdata, 1) time-domain waveform figure (1) plot (1: N, xdata) xlabel (' Time t/n' ) ylabel ( ' voltage V/v' ) db10 wavelet decomposition 4 layer one-dimensional wavelet decomposition [c, l] = wavedec (xdata, 4, ' db10' ) 1 ~ 4 reconstructed detail signal d4 = wrcoef (' d' , c, l, ' db10' , 4) d3 = wrcoef (' d' , c, l, ' db10' , 3) d2 = wrcoef (' d' , c, l, ' db10' , 2) d1 = wrcoef (' d' , c, l, ' db10' , 1) )

卫星网络行为的排队问题，包括对现有方法的分析并提出新的方法(Queuing behavior of the satellite network, including the analysis of existing methods and propose a new approach)

optimal extreme machine learning

卡尔曼滤波对温度的估计测量,用两种不同程序实现此功能。(Calman filter for estimation of temperature measurement)

get Element By Id01 extends D O M Test Case Source Code for Andriod.