mlp

DWT is any wavelet transform for which the waveletsDaubechies wavelets are discretely sampled. The code uses

基于采样矩阵求逆算法的自适应数字波束形成器程序(Sample matrix inversion algorithm based on adaptive digital beamformer program)

BP神经网络和遗传算法优化的BP神经网络(BP neural network and genetic algorithm to optimize BP neural network)

这个matlab程序实现了牛顿插值 （Newton s Interpolation ）算法(This function performs the Lagrange interpolation of a function and its derivative. Approximations and Interpolation.)

A Binary Particle Swarm Optimization for Optimal Placement and Sizing of Capacitor Banks in Radial Distribution Feeders with Distorted Substation Voltages

说明：  循环平稳时间序列中关于高阶循环累积量的程序 (Cyclostationary time-series on high-order cumulant of the process cycle)

说明：  产生伪随机码，长度是任意2的指数次，非常可靠的程序(can generate the presedorandom code, any length is OK)

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) )

说明：  提取基因周期方法运用了MATLAB程序，还可以看看吧(tiqujiyinzhouqifangfa)

图像盒维数的。。。。。。。。。。。。计算方法(Box dimension. . . . . . . . . . . . Calculation method)