face-recognition-based-on-pca-method

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：  medical image database breast cancer

农历时间显示农历时间显示农历时间显示农历时间显示(javascript)

说明：  最小均方自适应滤波器（LMS）是由Widrow和Hoff在1960年始创，它是以横向（即抽头延时线）结构为基础构建的。其最基本的形式设计简单，性能也高度高效。这两个特性使得LMS滤波器在各种应用中非常流行。递归最小二乘自适应滤波器（RLS）由于可提供快收敛速率而且对输入信号相关矩阵特征值扩散度变化不敏感，从而突破了LMS族的某些实际限制；其代价是增加了计算的复杂度。(the LMS algorithm of adaptive filter)

集群（CR）的加固阶段进展集群分离自组织映射（SOM）的。(The Cluster Reinforcement (CR) phase advances cluster separation in Self Organizing Maps(SOM).)

Tamura特征提取中的粗糙度、对比度、方向度的代码(Tamura feature extraction roughness, contrast, orientation, degree of code)

Modified version - Plots the irradiation diagram of a quad-element Tonpilz array

Erlang C formula expresses the probability that an arriving customer will need to queue.

单变量的GPC模型预测控制算法，通过实例研究GPC的稳定性。(GPC single-variable model predictive control algorithm to study the stability of GPC by way of example.)

物理光学法计算RCS，Radar And Laser Cross Section Engineering(Radar And Laser Cross Section Engineering)