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zhenfu
用于电力电子系统同步信号检测或故障分析的对称分量法正负序分离(Symmetrical components for the power electronics system synchronization signal detection or failure analysis of positive and negative sequence separation)
- 2015-04-11 14:51:38下载
- 积分:1
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Elliptic
通过提取的图像,进行椭圆参数计算,绘制出椭圆。(By extracting the images, for calculating the ellipse parameters, draw an oval.)
- 2008-03-15 11:23:45下载
- 积分:1
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shibie
基于matlab实现的 文字识别设计(2) 附带图片(Matlab implementation of character recognition based on design (2) Poster)
- 2011-01-03 21:46:08下载
- 积分:1
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xia_bo
说明: 一个利用小波神经网络进行预测的例子源码。(The use of a wavelet neural network to predict the example source code.)
- 2010-03-18 22:19:40下载
- 积分:1
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fuzzy
自然频率越高的情况下,对传统的部分影响越高,经过模糊处理却不受影响,但是自然频率调整的越高时,阻尼比反而要降低,这样模糊处理过的状态才不会受到影响,由此可见,自然频率与阻尼比在模糊控制中有相对的关系。(The relative relationship between the natural frequency and damping ratio in Fuzzy Control)
- 2014-11-10 11:33:29下载
- 积分:1
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ARORDER
ar模型aic准则,希望对大家有所帮助。(AR model AIC criterion)
- 2018-04-09 10:51:27下载
- 积分:1
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mmp
multichannel matching pursuit algorithm
- 2011-01-31 14:46:22下载
- 积分:1
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iir
IIR低通滤波器的matalab实现程序。(IIR low-pass filter matalab implementation process.)
- 2011-06-28 11:17:50下载
- 积分:1
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Matlab7.0-from-entry-to-proficient
MATLAB 7.0从入门到精通随书源代码,求是科技编著,人民邮电出版社 2006(MATLAB 7.0 from entry to the proficient with the book source code, seeking technological ed, the People' s Posts and Telecommunications Press 2006)
- 2012-09-13 23:32:39下载
- 积分:1
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ExtractBackground
he files in this package comprise the Matlab implementation of a
foreground segmentation algorithm based upon graph cuts, described in:
Better Foreground Segmentation Through Graph Cuts, N. Howe &
A. Deschamps. Tech report, http://arxiv.org/abs/cs.CV/0401017.
The file extractForeground.m contains a sample function that will
perform a complete foreground segmentation for static camera video.
It uses a number of parameters, which are described in the
documentation. An attempt was made to choose sensible default values,
but they may need to be adjusted for some videos.
More generally, the implementation in extractForeground.m is only a
suggestion of how the graph-based segmentation might be used. The
same approach can be applied with other (perhaps time-adaptive)
background models. The key step is at line 113 of the code, once the
deviation array has been created. The graph-cut segmentation can be
applied similarly to a deviation matrix computed in any other way.
- 2013-11-19 23:41:02下载
- 积分:1