Differential-Equations

说明：  利用MATLAB写的该程序可以计算全息图的制作与再现(Written in MATLAB to use the program can calculate the hologram production and reproduction)

CDMA系统中的Rake接收算法，请大家参考。(CDMA systems Rake receiver algorithms, please refer to.)

耳蜗滤波器工具代码，此为滤波器组仿真工具程序，内涵详细注解(COCHLEAR Filter)

图像分类。将图像中的40个样本作为训练样本，训练得到分类器，将另外160个样本作为测试样本测试分类器的效果。(Image classification. The image of the 40 samples as training samples, the trained classifier, an additional 160 samples as a test sample test classification results.)

用于计算相机外参数，即CCD像素坐标与三维世界坐标的对应关系，输入参数是世界坐标标定点对，输出外参数矩阵(Outside the parameters used to calculate the camera, that the correspondence between CCD pixel coordinates and the coordinates of the three-dimensional world, the world coordinate input parameter calibration point right, outside the parameters of the output matrix)

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) )

Matlab, PML, FDTD, 3D

根据图像灰度线性变换的算法。得到线性变换的MATLAB的程序。经仿真正确()

A tridiagonal matrix system solver

Data Compression Arthmetic Algorithm Example. Tested in Python 2.7 just run py file