DSIM

此程序主要是用Matlab进行点云数据的三维建模，对用Matlab进行三维重建有实用价值。(The procedure is to use Matlab for modeling three-dimensional point cloud data on the three-dimensional reconstruction with Matlab has practical value.)

PID控制的应用实例例程（本资料有两本分组成）(PID control application example routines (there are two sub-components of the data) )

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) )

1D Convective Diffusion

这是一个bp的神经网络反演的matlab程序(BPBPBBBBBBBBPPPPPPPPPPPPp)

丢失数据的主成分分析，处理不完整数据的pca分解。pcaMatlab(Principal component analysis of missing data, incomplete data processing pca decomposition.pcaMatlab)

李萨如图形，改变振幅比，频率比可以得到不同的图形组(Lissajous figure, changing the amplitude ratio, frequency ratio can be different from the graphic group)

信号维数的估计，仿真效果非常好，小波包分析提取振动信号中的特征频率。( Signal dimension estimates, Simulation of the effect is very good, Wavelet packet analysis to extract vibration signal characteristic frequency.)

source code for imageproccesin

矩阵是数学中一个十分重要的概念，其应用能够十分广泛，Matlab中最基本最重要的功能就是进行矩阵运算，其所有数值功能都已矩阵为基本单元来实现，掌握Matlab中的矩阵运算是十分重要的(Matrix and its operation)