my_linedetect

Calc standard error of the mean or nonparametric

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) )

Study of heat transfer and temperature of a 1x1 metal plate

matlab下直接解压使用 OFDM程序文件(matlab directly extract files using OFDM)

非线性系统的PID鲁棒控制，基于NCD优化的非线性PID控制(Nonlinear systems Robust PID control of NCD-based PID control of nonlinear optimization)

一个二阶水槽模型，包括两级水槽的输出曲线。(A second-order sink models, including two tanks of the output curve.)

正弦信号 重复控制器 简单的matlab重现(Repeat simple sinusoidal signal controller matlab reproduce)

离散余弦变换dct算法详细讲解，并在matlab上进行图像稀疏分解与重建的图像处理仿真。(Discrete cosine transform DCT algorithm is explained in detail, and the simulation of image sparse decomposition and reconstruction of image processing in matlab.)

里面的文档详细阐述了LMS原理，包括常用的仿真方法，并附有使用LMS方法的自适应滤波的实例matlab仿真程序。(The document inside expounds the principles of the LMS in detail, including the simulation methods and a matlab simulation program of an adaptive filtering by using the LMS method.)

稀疏建模工具箱，是一个为解决各种稀疏估计问题的开源优化工具箱，可实现字典学习与矩阵分解；使用LARS、快速下降法、OMP、SOMP等算法解决稀疏分解问题；使用Lasso解决结构化稀疏分解问题( Dictionary learning and matrix factorization Solving sparse decomposition problems with LARS, coordinate descent, OMP, SOMP, proximal methods Solving structured sparse decomposition problems )