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MATLABdianlixiyongfangzhen

于 2009-12-18 发布文件大小:27569KB

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电力系统仿真，可仿真电力系统各种故障，运行于分析(Power system simulation, to simulate a variety of power system fault)

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1
说明： matlab开发的一个检测封闭曲线质心的程序。很好用(matlab developed a closed curve centroid detection procedures. Good use)

2007-11-27 17:40:41下载

积分：1
linear_fitr
Linera filtr (gaussian smoothing)

2009-05-17 19:21:32下载

积分：1
BeyondtheKalmanFilterParticlefilterfortrackingappl
优于Kalman滤波的粒子滤波在目标跟踪中的应用，幻灯片(Kalman filtering is superior to the particle filter in the target tracking application, slide)

2007-11-14 10:53:25下载

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work
说明：本程序为粗糙集属性约简的算法！如有做这方面的请下载！(this is a good program!if anyone need this, please load down!)

2010-04-02 09:54:52下载

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zigzager_inverse
Inverse zig zag scan used after zigzag scan to arrange the data back to 2d matrix or image

2010-05-07 17:50:14下载

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tuxiangchui
主要利用MATLAB进行有关图像的最基本处理，如图像增强，图像融合，滤波。。。(Mainly use MATLAB for the image of the most basic processing, such as image enhancement, image fusion, filter...)

2013-03-10 21:57:23下载

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MATLAB codes used in Mathematical Methods for Diff
说明：本程序为利用matlab求解微分方程的源程序及相关例子。(the procedures for the use of Matlab to solve the differential equation of the source and relevant examples.)

2005-09-02 22:10:35下载

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PCG
求解数值分析中的共轭梯度法 (conjugate method)

2020-12-12 21:29:16下载

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cl_bicoherence
统计信号处理中，计算双谱的仿真程序，已通过测试。(Bispectrum calculation procedures.)

2010-09-17 18:49:22下载

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xiaobosuanfa
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) )

2011-05-21 16:48:36下载

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MATLABdianlixiyongfangzhen

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