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Physical layer Code for indoor visible light communication according to ieee standards

说明：  灰色预测方法的特点表现在：首先是它把离散数据视为连续变量在其变化过程中所取的离散值，从而可利用微分方程式处理数据；而不直接使用原始数据而是由它产生累加生成数，对生成数列使用微分方程模型。这样，可以抵消大部分随机误差，显示出规律性。(The characteristics of the grey prediction method are as follows: First, it regards the discrete data as the discrete value of the continuous variable in its change process, so that the differential equation can be used to process the data; instead of using the original data directly, it generates the cumulative generation. Number, using a differential equation model for generating a series. In this way, most of the random errors can be offset, showing regularity.)

说明：  计算压缩前后两信号的相关性，通过计算相关性，计算压缩信号的位移量(Calculated before and after the two compressed signal correlation, by calculating the correlation to calculate the displacement signal compression)

MATLAB，紋理分析，利用GLCM來得到Entropy、homogenity、itensity、correletion、IDM、ENRGY...十多種紋理特性(MATLAB, texture analysis using GLCM to get Entropy, homogenity, itensity, correletion, IDM, ENRGY ... more than ten kinds of texture features)

用于计算两幅图像之间结构相似性度量的MATLAB源码(An implementation of the algorithm for calculating the Structural SIMilarity (SSIM) index between two images)

线性方程组的直接发的源代码，matlab编写的，值得收藏，欢迎大家踊跃下载，为中国的科研事业做贡献(Linear equations of the source code directly, matlab prepared and worthy of collection, enthusiastically welcomed the U.S. download, in order to make China' s contribution to the cause of scientific research)

this is a simulation of current control of indirect drive please try it

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) )

此函数为matlab函数，可以用来绘制出任意函数的包迹线。(Finds the envelope of an arbitrary function)

快速wds-map算法定位，对wds-map算法的改进。(Rapid WDS-map location algorithm, the WDS-map of the improved algorithm.)