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cmpr
实现电机的svpwm控制的IGBT开关导通时间的matlab计算的程序,还有画图(SVPWM realize motor control IGBT switch conduction time matlab calculation procedures, as well as drawing)
- 2008-06-09 22:15:05下载
- 积分:1
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rncdff
Reads a netCDF file and returns the contents as elements of a structure
- 2010-10-11 06:47:24下载
- 积分:1
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EPS_Control
EPS控制模型 EPS控制模型 EPS控制模型 EPS控制模型(Control model control model EPS EPS EPS EPS control model control model)
- 2011-10-08 09:10:09下载
- 积分:1
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fliter
利用matlab实现图像的频域滤波,包括巴特沃斯低通、理想低通、高斯低通等(Using matlab for image filtering in frequency domain, including the Butterworth low-pass, ideal low-pass, Gaussian low-pass, etc.)
- 2010-07-22 12:02:11下载
- 积分:1
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MATLABhuitu
matlab 经典绘图教程,珍藏版的,从零学起的好东西(Matlab tutorial classic drawing, the editions, from zero to learn from good things
)
- 2012-04-17 23:02:45下载
- 积分:1
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walfish-bertoni
无线通信中的经典传输损耗预测模型(walfish-bertoni)的pdf cdf的仿真程序(wireless communications transmission loss of the classic model (walfish- bertoni) pd f cdf the simulation program)
- 2021-02-08 15:09:54下载
- 积分:1
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PCA-analysis
利用Matlab编程实现主成分分析,从数学角度来看,这是一种降维处理技术(Using Matlab programming principal component analysis, from a mathematical point of view, this is a dimension reduction process technology)
- 2011-10-04 16:50:08下载
- 积分:1
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image-fusion
在matlab开发环境中,利用小波算法开发的图像融合。(image fusion matlab)
- 2013-05-10 11:00:43下载
- 积分:1
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facefbtprotected
matlab code for face recognition
- 2009-03-18 15:01:34下载
- 积分:1
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work
matlab 关于association rule 的自己写的函数,有3个文件,
association.m:h = association(m, i, j)
i=>j, m是数据,h是support和confidence,该函数只适用于单个数据
ass_item: h=ass_itset(m, a, b)
同上,但是可用于多个数据(m为数组)
assrule: h = assrule(m, threshold1, threshold2)
该函数用于classification, 得到规则,threshold1为要求的support,threshold2为要求的confidence,h 则为符合要求的规则及其support和confidence,前2列为规则,后2列为其support和confidence
(matlab on the association rule to write functions, there are 3 files, association.m: h = association (m, i, j) i => j, m is the data, h is the support and confidence, this function applies only to a single Data
ass_item: h = ass_itset (m, a, b) it is the same as above, but it can be used for multiple data (m can be matrix)
assrule: h = assrule (m, threshold1, threshold2) the function used for classification,get the rules, threshold1 is the require of support, threshold2 is the required of confidence, h is the rules and their support and confidence, the former two columns as a rule, the latter two columns as one of its support and confidence)
- 2009-12-15 02:51:44下载
- 积分:1