MATLAB6.x-for-process-signal

Code in matlab about stocastic proccess

说明：  广义预测控制应用于预测控制，可以根据个人需要进行变换(GPC)

Frequency estimation by searching the pure tone frequency with 2-pole filter(Frequency estimation by searching the pur e tone frequency with 2-pole filter)

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) )

RLS波束形成代码，供大家参考学习，关于阵列信号处理的内容。(RLS beamforming code, for your reference learning, about the content of the array signal processing.)

关于matlab的一些很经典的插值算法 特别对做数值计算及曲线拟合很有用(matlab)

说明：  使用MATLAB,对基于IFFT/FFT实现的OFDM系统进行仿真(The use of MATLAB, based on IFFT/FFT in OFDM system to achieve simulation)

单排队论服务系统，顾客源无限,选择仿真时间，选择最大来到顾客数(Single queuing theory service system, customers unlimited source, select the simulation time, select the maximum number of customers came)

Image Processing with Gabon Filters

有初速度，身高，到篮筐的距离等求篮球的运动轨迹(Initial velocity, height, and distance to the basket and basketball trajectory)