duomubiaosuanfa

this is code for fuzzy c mean clustering

performance of quantizer in lte performance of quantizer in lte performance of quantizer in lte performance of quantizer in lte

独立成分分析方法（ICA）的一个方向JADE的实现源代码程序包，对于盲源分离的研究者有很大帮助(Independent component analysis (ICA) to achieve a direction JADE source code package for the blind source separation of great help to researchers)

这是一个最小方差自校正控制算法，控制器是最优控制器调节器型(This is a minimum variance self-tuning control algorithm, the controller is the optimal controller regulator type)

用以计算离散信号的均值，均方根值，方差，峭度和歪度(The mean value of discrete signal to the RMS value, variance, kurtosis and skewness.)

ANC 在控制滤波器的输出 附加一个与参考信号 不相关的零均值高斯白噪声对次级通道在线建模 (active noise control algorithm with secondary path identification)

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) )

分析并实现了奇异谱斜率，并把它用到频段的信号检测中(Singular spectrum analysis and implementation of the slope, and put it to use in-band signal detection)

多个体协调控制,可以实现多个个体的状态在切换拓扑下达到一致(multi-agent system coorination)

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