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kohonen
Kohonen neural Network
- 2009-06-01 23:36:45下载
- 积分：1
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Parallel_MATLAB
本书介绍了并行计算在matlab上的实现，主要针对多核电脑(This book describes the parallel computing on matlab realization, mainly for multi-core computers)
- 2014-11-13 23:26:56下载
- 积分：1
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speech
matlab 短时傅立叶变换的实现，用于学习，采用mesh画图(Matlab short-time Fourier transform to achieve for learning, the use of mesh drawing)
- 2021-03-31 14:39:09下载
- 积分：1
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svm465
This toolbox was designed as a teaching aid, which matlab is particularly good for since source code is relatively legible and simple to modify. However, it is still reasonably fast if used with the supplied optimiser. However, if you really want to speed things up you should consider compiling the matrix composition routine for H into a mex function. Then again if you really want to speed things up you probably shouldn t be using matlab anyway... Get hold of a dedicated C program once you understand the algorithm.(This toolbox was designed as a teaching aid, which matlab is particularly good for since source code is relatively legible and simple to modify. However, it is still reasonably fast if used with the supplied optimiser. However, if you really want to speed things up you should consider compiling the matrix composition routine for H into a mex function. Then again if you really want to speed things up you probably shouldn t be using matlab anyway... Get hold of a dedicated C program once you understand the algorithm. )
- 2005-06-06 09:41:14下载
- 积分：1
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chabEst01_Para
Channel estimation in OFDM using Matlab
- 2015-03-05 22:59:47下载
- 积分：1
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power-factor
This is a matlab that contain the circuit of the power factor. It is in 3 phase.
- 2015-04-07 23:08:34下载
- 积分：1
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SpatiallyAdaptiveTotalVariation
Spatially Adaptive Total VariationSpatially Adaptive Total Variation
- 2010-12-14 00:49:51下载
- 积分：1
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MIMO
MIMO雷达成像，资料比较全的，是一个压缩包(MIMO radarimaging)
- 2012-07-31 11:30:48下载
- 积分：1
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ROUGH-SET
粗糙集属性约简相关论文，感觉不错，用来分享一下(Rough set attribute reduction related papers, I feel good, to share)
- 2013-11-01 13:47:14下载
- 积分：1
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fisherface
Eigenfaces: PCA tends to find a p-dimensional subspace
whose basis vectors correspond to the maximum
variance direction in the original image space (p N).
We called the new subspace defined by basis vectors “face
space”. First, all training faces are projected onto the face
space to find a set of weights that describes the contribution
of each vector. Then we project all testing faces onto the
face space to obtain a set of weights. Finally, we identify
the face by comparing a set of weights for the testing face
to sets of weights of training faces.
- 2010-11-20 17:00:21下载
- 积分：1
