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algorithmcmashi
此算法为智能天线波束形成算法。为解括重括盲算法。(This algorithm for smart antenna beamforming algorithm. For the solution algorithm, including re-including the blind.)
- 2008-02-29 16:10:10下载
- 积分:1
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voiceidentify
一个语音识别的程序,用matlab进行训练、识别。(A speech recognition procedure, using matlab for training, identification.)
- 2008-04-12 09:36:31下载
- 积分:1
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01
说明: 插值..,不知道有没有问题,就是个示例,以后还多多学习(jiaocheng)
- 2009-12-17 22:18:24下载
- 积分:1
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actfev1_6
水声模型 很不错的东西,经典中的经典,希望对大家有帮助(Acoustic model is a good thing, the classic of classics, and they hope to have everyone help)
- 2020-07-04 06:40:01下载
- 积分:1
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SY0917207_ChuYanlong_GD_2
惯导捷联式平台的应用,通过此平台来仿真计算星体的位置,各种姿态。(INS strapdown platform applications, simulation through this platform to the position of the stars, the various postures.)
- 2011-11-17 23:27:35下载
- 积分:1
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C4.5
C4.5信心增益率确定分支节点,百分百能运行的那种哦(infomation incrasing rate)
- 2018-06-01 12:17:37下载
- 积分:1
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matlabexpand
matlab 扩展编程,何强何英主编,一本很好的matlab 学习教程!(matlab expand program, heqiang heying, matlab study tutorial!)
- 2010-11-04 21:18:56下载
- 积分:1
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SlidingMode
刘金琨著 《滑模变结构控制MATLAB仿真》源代码(Jinkun "SMVSC control MATLAB" source code)
- 2020-09-10 10:38:01下载
- 积分:1
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Hypersphere-support-vector-machine
超球体支持向量机是单类支持向量机的一种,超球体OC-SVM算法的思想为寻找一个超球体,使其半径尽可能小的同时,包含的训练样本数尽可能多。(Hypersphere support vector machine is a single-class support vector machine, thought hypersphere OC-SVM algorithm to find a hypersphere, so radius as small as possible while the number of training samples contain as much as possible.)
- 2013-01-16 22:04:39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