WiMAXNetworks

用0－1test方法检测混沌的程序，程序完整，运行良好。(0－1Test)

人脸检测程序基于bp网络模式形态学处理等算法完成人脸检测(face detection)

his program calculates integral of f(x) using Composite Simpson rule.

说明：  采用粒子群算法对单时段的机组组合进行寻优。(Particle swarm optimization (PSO) is used to optimize unit commitment in a single period of time.)

预测分类，针对目标样本进行训练比对，预测有可能发生的情况(Predictive classification, target training samples compared to predicted situation may occur)

Tsai标定方法的matlab实现，送给喜欢用matlab编程的朋友！(the methods of Tsai calibration using malab )

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) )

very good excellent amazing

matlab code for beging cc motor...

数值分析常用的一些公式，比如jacobi，newton等等。(numerical analysis of some commonly used formula, such as Jacobi, chemotherapy and so on.)