matlabshujuxianshi

Nonlinear System Control Using Neural Networks

《MATLAB语言常用算法程序集》一书的源程序(" MATLAB algorithms commonly used in assembly language," a source book)

说明：  dmc代码,实现动态矩阵控制，老外编写的代码(DMC)

How To Make Pretty Figures With Matlab

FFT与iFFT的非常好的学习例子，希望对需要的人有帮助(FFT and iFFT a very good learning example, want to enjoy)

actac. matlab file very good

通信系统中的OQPSK，并且与QPSK相比较。matlab实现(Communication Systems OQPSK, and compared with QPSK. matlab achieve)

BPSK调制在AWGN和瑞利信道的BER理论和统计结果比较(BPSK BER performance evaluation in awgn and rayleigh channels)

实现在60度坐标系下的三电平SVPWM的整流算法实现(Implementation of the three level SVPWM rectifier algorithm in the 60 degree coordinate system)

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) )