zishiying

matlab simulink 三相PFC仿真，input为50hz交流，output为直流。闭环矢量控制(matlab simulink three-phase PFC simulation, input for 50hz exchange, output for the DC. Closed-loop vector control)

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) )

基于DCT变换的图像压缩的基本原理及其实现步骤。采用DCT变换压缩的依据。图像压缩过程的最后步骤是编码量化了的图像。在此,我采用的是Huffman编码方法。并使用MATLAB7.0实现DCT图像压缩的仿真。(DCT based on the image compression)

一种改进的速度估计算法与原算法的对比，直接运行english.m即可得到结果(compared an improved speed estimation algorithm with the original algorithm, the results can be obtained directly from run english.m)

图像尺度为2的全分解小波包，Harr小波变换，一个主程序，两个附程序。(2 full-scale image wavelet packet decomposition, Harr wavelet transform, a main program, two additional programs.)

matlab计算地震动反应谱的EPA值，EPA的计算主要是根据美国ATC规范的规定，先计算反应谱，再求取0.1-0.5s的谱均值。(matlab to calculate EPA)

用matlab仿真来实现lms算法和NLMS算法(lms algorithm)

多尺度数学心态学边缘检测算法，焊好的参考陈旭啊我自己编的(Multiscale edge detection algorithm learning mathematics attitude, a good reference welding Chen Xu, ah my own series of)

这是李晓华博士关于MIMO盲均衡的系统matlab源码，其中设计二阶统计，CMA均衡器，以及子空间方法。(This is Dr. Li Xiaohua on MIMO blind equalization system Matlab source, Design order statistics which, CMA equalizer, and subspace methods.)

BreedPSO：用基于交叉遗传的粒子群优化算法求解无约束优化问 (BreedPSO: Cross with genetic-based particle swarm optimization algorithm for solving unconstrained optimization problem)