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yucebianma
对一幅图象进行无损一阶预测编码,采用前值预测(Non-destructive image of a first-order predictive coding, using the former value of the forecast)
- 2009-05-02 20:01:35下载
- 积分:1
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matlab100examples
matlab100实例,主要包括图像处理,解方程等等的实际应用和程序。(matlab100 examples, including image processing, solution of equations and so the practical application and procedures.)
- 2008-05-05 15:37:57下载
- 积分:1
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yutou
clifford attractor
matlab 编程(clifford attractor Matlab programming)
- 2006-12-12 23:28:46下载
- 积分:1
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matlab94_4recog2_77error
CODE USED FOR FACE RECOGNATION
- 2014-10-23 01:56:19下载
- 积分:1
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exm1
基本的MATLAB界面设置,未说到具体M编程和调试(The basic MATLAB interface settings, not when it comes to specific programming and debugging M)
- 2013-12-17 10:48:04下载
- 积分:1
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myworkplace
双馈风电模型 用于并网试验,测试效果良好(Doubly- fed wind power model)
- 2021-04-22 20:08:48下载
- 积分:1
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Fuzzy-Synthetic-Evaluation-Model
在MATLAB下实现模糊综合评价,有GUI用户界面,例子为打分系统,为初学者提供帮助。
简介:模糊综合评价法是一种基于模糊数学的综合评标方法。该综合评价法根据模糊数学的隶属度理论把定性评价转化为定量评价,即用模糊数学对受到多种因素制约的事物或对象做出一个总体的评价。它具有结果清晰,系统性强的特点,能较好地解决模糊的、难以量化的问题,适合各种非确定性问题的解决。(Achieved in MATLAB comprehensive uation, there are GUI user interface, examples of scoring system, for beginners to help. Profile: fuzzy comprehensive uation is a comprehensive uation method based on fuzzy mathematics. The comprehensive uation method based on the theory of fuzzy membership of the qualitative uation into quantitative uation, which uses fuzzy mathematics by a variety of factors thing or object to make an overall uation. It has a clear result, systematic and strong features, it can solve vague, difficult to quantify the problem, for solving the problem of non-deterministic.)
- 2020-10-28 09:29:58下载
- 积分:1
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memoria
LTE model in simulink, to stady the effect of channel
- 2011-12-17 07:40:39下载
- 积分:1
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twopoint412
红外图像非均匀性矫正--两点法实现。绝对正确实用!(Infrared image non-uniformity correction- two methods to achieve. Practical absolutely right!)
- 2010-07-22 13:09:21下载
- 积分:1
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PROFANA
1. It is necessary you have defined on Matlab the X - data matrix. Size of matrix must
be n-by-(1+p) sample=column 1, variables=column 2:p). And alpha - significance
(default = 0.05).
2. For running this file it is necessary to call the rafisher function as
PROFANA(X,alpha). Please see the help PROFANA.
3. Once you input the arguments, it will appears your results. (
1. It is necessary you have defined on Matlab the X- data matrix. Size of matrix must
be n-by-(1+p) sample=column 1, variables=column 2:p). And alpha- significance
(default = 0.05).
2. For running this file it is necessary to call the rafisher function as
PROFANA(X,alpha). Please see the help PROFANA.
3. Once you input the arguments, it will appears your results. )
- 2009-12-23 14:49:09下载
- 积分:1