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im_sim_model(1)
induction motor simulation in matlab
- 2012-05-28 13:15:28下载
- 积分:1
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NNDemo2.0
是一个用MATLAB编的一个系统,是关于各个神经我网络模型和支持向量机的软件包(using MATLAB is a part of a system of various neural network model and I support vector machine packages)
- 2005-07-09 13:33:00下载
- 积分:1
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turbo_code
turbo coding is a powerfull successive iteration decoding algorithm
- 2011-06-02 03:54:24下载
- 积分:1
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matlab-of--phyisical-optics
物理光学上的干涉实验,用matlab编程来实现,比较实用!(Intervention on physical optics experiments with matlab programming to achieve more practical!)
- 2011-10-25 09:26:32下载
- 积分:1
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THINNING
thinning is used to eliminate unwanted noise
- 2013-04-29 17:18:28下载
- 积分:1
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voxelizer
calculate the 3d voxels (in 2d pixel)
- 2010-01-06 20:06:31下载
- 积分:1
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viterbi_hard
(2,1,3)卷积码编码,硬判决译码;编码是matlab语言,译码是verilog语言((2,1,3) convolutional code encoding, hard decision decoding coding is matlab language, decoding is verilog language)
- 2013-08-07 10:45:11下载
- 积分:1
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Brownianmotion
一维 二维 三维分形布朗运动的序列生成,以及相空间生成(One-dimensional 2D and 3D fractal Brownian motion sequence generation and generation phase space)
- 2014-12-14 20:19:56下载
- 积分:1
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wind-history-matlab-code
脉动风时程matlab程序,风荷载时程曲线的matlab代码,自己找了好久,加上自己的修改,很简单。(Fluctuating wind schedule matlab, the wind load process curve of matlab code when, for a long time, and their own )
- 2012-04-01 19:30:32下载
- 积分:1
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fecgm
独立成份分析(ICA)以及winner滤波 Source separation of complex signals with JADE.
Jade performs `Source Separation in the following sense:
X is an n x T data matrix assumed modelled as X = A S + N where
o A is an unknown n x m matrix with full rank.
o S is a m x T data matrix (source signals) with the properties
a) for each t, the components of S(:,t) are statistically
independent
b) for each p, the S(p,:) is the realization of a zero-mean
`source signal .
c) At most one of these processes has a vanishing 4th-order
cumulant.
o N is a n x T matrix. It is a realization of a spatially white
Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance
sigma. This is probably better than no modeling at all...( Source separation of complex signals with JADE.
Jade performs `Source Separation in the following sense:
X is an n x T data matrix assumed modelled as X = A S+ N where
o A is an unknown n x m matrix with full rank.
o S is a m x T data matrix (source signals) with the properties
a) for each t, the components of S(:,t) are statistically
independent
b) for each p, the S(p,:) is the realization of a zero-mean
`source signal .
c) At most one of these processes has a vanishing 4th-order
cumulant.
o N is a n x T matrix. It is a realization of a spatially white
Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance
sigma. This is probably better than no modeling at all...)
- 2010-05-27 23:08:51下载
- 积分:1