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pattern-recognition
用matlab实现模式识别里的K-均值聚类算法，算法简单(Pattern Recognition using matlab to achieve in the K-means clustering algorithm, the algorithm is simple)
- 2013-11-01 11:58:53下载
- 积分：1
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Tutorial_Matlab
MATLAB Turorial Package : Contains 6 PDF documents to elaborate detailed functions in MATLAB
- 2009-05-27 13:38:20下载
- 积分：1
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ellipse
说明： MATLAB椭圆你和函数，还好吧，但是我没太看懂~(MATLAB elliptic function you and also Well ~)
- 2009-08-07 17:50:43下载
- 积分：1
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capacityMIMO
capacity of MIMO channel in terms of varying of rx and tx
- 2013-01-04 15:57:58下载
- 积分：1
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sadf
VC＋＋与MATLAB的混合编程
：This paper is origined from the API(Application Programme Interface)between Matlab6p5 and
Visual C++6．0．and has mainly discussed on the idea about how to make a mixed programme with language
C++ and Madab，what’s inore，has illustrated the scheme and difficulties to enhance the speed and efficien—
cy of the simulation software and code executing．Consequently，it provides the students and engineers with an
effective reference． (：This paper is origined from the API(Application Programme Interface)between Matlab6p5 and
Visual C++6．0．and has mainly discussed on the idea about how to make a mixed programme with language
C++ and Madab，what’s inore，has illustrated the scheme and difficulties to enhance the speed and efficien—
cy of the simulation software and code executing．Consequently，it provides the students and engineers with an
effective reference． )
- 2010-12-25 16:57:26下载
- 积分：1
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saolei
扫雷，一个很好玩的游戏，matlab编码(Mine, a very fun game, matlab code)
- 2014-11-25 09:50:10下载
- 积分：1
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LS-CH.EST-a-MMSE-CH.EST
LS channel estimation
MMSE channel estimation
used in lte system
- 2014-01-28 11:06:11下载
- 积分：1
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优化
说明： 本例子给出了fmincon的使用方法，还有遗传工具箱的使用方法，供新手参考。(This example gives the use of fmincon and genetic toolbox for novice reference.)
- 2019-03-04 08:26:51下载
- 积分：1
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Various-digital-filter--
说明： 低通高通带通带阻四种数字滤波器实验报告,里面有详细的程序(Low pass, qualcomm, band-pass, band-stop four digital filter)
- 2011-03-19 20:29:43下载
- 积分：1
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lda_test
Function to implement Linear Discriminant Analysis
Usage:-
[Xnew,V,mX,D] = lda(X,index,mX)
[V,D] = lda(X,index)
where:-
X = concatenated grand profile vectors (GPV)
i = class index of each vector
Xnew = new feature vectors
P = eigen vectors
mX = mean of GPV (optional in input)
D = eigen values
- 2013-07-09 15:03:43下载
- 积分：1
