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gpclass
gaussian procession 原程序,用于解决分类问题,有兴趣可以看看啊(gaussian procession original procedures used to address classification problems, who are interested can look at ah)
- 2008-02-29 17:48:56下载
- 积分：1
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233555
基于MATLAB与DSP的FIR数字滤波器的设计基于MATLAB与DSP的FIR数字滤波器的设计(MATLAB and DSP-based FIR digital filter design is based on MATLAB and DSP' s FIR digital filter design)
- 2010-06-06 00:36:36下载
- 积分：1
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toolsgenetic
说明： 遗传算法工具箱，很实用的！请大家下载。一定感到很好！！！！(GNU GENERAL PUBLIC LICENSE
Version 2, June 1991
Copyright (C) 1989, 1991 Free Software Foundation, Inc.
59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
Everyone is permitted to copy and distribute verbatim copies
of this license document, but changing it is not allowed.
)
- 2011-02-18 22:20:08下载
- 积分：1
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adaptivehuffman
adaptivehuffman经测试，绝对能用，大家一起来分享(adaptivehuffman)
- 2010-05-16 11:26:39下载
- 积分：1
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chcap1
％
％ [ 联合开发网 - pudn.com
- 2007-06-02 22:40:08下载
- 积分：1
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adomian
分数阶陈系统的Adomian分解法，由于传统的Adams方法(Fractional order Chen system, Adomian decomposition method, as the traditional method of Adams)
- 2020-07-16 20:08:49下载
- 积分：1
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matlabpcm
pcm编译码实现，有关于pcm编码译码的介绍和m文件(pcm codec to achieve)
- 2009-04-15 16:34:51下载
- 积分：1
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bd-mimio
快对角化，实现减小多用户MIMO系统中用户间的干扰的目的(Fast diagonalization, to achieve multi-user MIMO system reduces interference between users of purpose)
- 2013-07-26 09:04:10下载
- 积分：1
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canny
完全不调用matlab系统函数，编写canny边缘检测算法，适合初学者(Completely without calling matlab system function, write canny edge detection algorithm, suitable for beginners)
- 2014-11-17 13:31:59下载
- 积分：1
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NFEA
张量分解提取生物学特征，NFEA: Tensor Toolbox for Feature
Extraction and Applications(
Data in modern applications such as BCI based on EEG signals often contain multi-modes due to
mechanism of data recording, e.g. signals recorded by multiple-sensors (electrodes), in multiple trials,
epochs, for multiple subjects and with different tasks, conditions. Moreover, during processing and
analysis, dimensionality of the data could be augmented due to expression of the data into sparse
domain (time-frequency representation) by different transforms such as STFT, wavelets. That means
data itself is naturally a tensor, and has multilinear structures. Standard approaches which analyze
such data by considering them as vectors or matrices might be not suitable due to risk of losing the
covariance information among various modes. To discover hidden multilinear structures, features
within the data, the analysis tools should reflect the multi-dimensional structure of the data)
- 2020-07-21 16:48:45下载
- 积分：1
