New_folder__5_

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) )

数值积分演示 可以说明数值积分 在课上使用(it is a matlab program about Numerical integration，it would be used in class to show Numerical integration to the classmate)

这个代码是关于球体、直角体跟椎体目标的RCS计算matlab程序，简答明了，很适合初学者看的(This code is on the sphere, at right angles to the body with vertebral target RCS matlab program, the short answer is clear, it is suitable for beginners see)

Gabor变换子函数，有详细注释，采用高斯窗，绝对可用(Gabor transform subroutine, detailed notes, using the Gaussian window, absolutely useful)

FDFD方法计算双脊波导的特征模以及场分布，对计算电磁学的学习很有帮助(FDFD Method to calculate the eigenmodes and electromagnetic field distribution of double ridge waveguide,it will be very helpful for the study of computational electromagnetics)

MATLAB通信仿真及应用实例详解,比较好的一本书。(MATLAB simulation and communication application example explanation, a good book.)

R/S法 处理信号 随机信号 分形维数 非线性分析(Nonlinear Analysis of R/S Method random signal processing signal fractal dimension)

Mann-Kendall突变检验的matlab程序，设置的置信度95 ，当然这个很容易自己调整(Mann-Kendall mutation test matlab program, set 95 confidence level, of course, this is very easy to make their own adjustments)

好用的数据描述工具箱，SVDD等各类描述工具。(Data description toolbox dd tools 1.7.5 A Matlab toolbox for data description, outlier and novelty detection)

基于matlab图像处理的字符识别。。。。。。。。。。。。。。。。(Based character recognition matlab image processing. . . . . . . . . . . . . . . .)