matlab-book

直扩系统传统DMF解扩SIMULINK建模(DS system, the traditional DMF despreading SIMULINK modeling)

基于MATLAB实现心音信号中的第一心音和第二心音的定位(Realized by MATLAB first heart sound heart sound signal and the positioning of the second heart sound)

给出一组标定点的二维坐标即可得到摄象机的内外参数．(Given a set of reference points of two-dimensional coordinates can be internal and external camera parameters.)

采用Clewlow and Strickland 单要素日现货模型，利用Monte Carlo方法模拟商品现货价格的Matlab程序。(Commodity Model One Factor Spot Model：This code simulates commodity spot prices using the Clewlow and Strickland one factor daily spot model using a Monte Carlo approach. The derived stochastic differential equations (SDEs) are solved using several finite difference schemes.)

这是基于约束最大期望算法的matlab程序，对参数估计及图像分割有较大作用(This is based on expectations of the biggest constraint algorithm Matlab procedures, parameter estimation and image segmentation greater role)

matlab中大津法（otsu）的源代码程序，已经经过测试，可以在matlab中直接运行(matlab in Otsu (otsu) program source code, has been tested and can be run directly in matlab)

MATLAB模拟的电磁学时域有限差分法（FDTD），其中包括大量源代码。(MTALAB FDTD)

FSK modulation scheme with offset

这是自组织竞争网络的源程序 联合开发网 - pudn.com

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) )