matlab

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) )

机加工自由曲面，由matlab生成设计曲面和设计刀具轨迹（此例为加工椭球面）(Freeform surface machining, surface generated by the matlab design and design tool path (in this case for the processing of the ellipsoid))

常用函数速查，对matlab开发的人非常有用。(Commonly used functions Info on matlab developed a very useful people.)

matlab实现系统辨识 采用LMS（最小均方误差）估计 随机信号均值为0方差为1，加入高斯白噪声(matlab for system identification using LMS (least mean square error) estimation of random signal with mean 0 variance 1, by adding Gaussian white noise)

说明：  电力变压器局部放电在线检测中窄带干扰滤波方法(Power Transformer Partial Discharge Detection in the narrow band interference filter)

matlabFEM is fem lab progrma source code to solve equation diferential

matlab下用dspbuilder编写的FM调制波形例子，比较初级，供新手学习。(Under matlab prepared dspbuilder FM modulation waveform example, compare the primary for the novice to learn.)

From the partial fraction expansion of H(z) we can find a, b

Matlab 通用神经网络代码；介绍说明以及源代码(General Matlab neural network code introductory notes, and source code)

基于小波变换的各种去噪方法算法研究的matlab程序(Based on wavelet transform algorithm for various denoising method of matlab )