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dcthuidu
利用MATLAB进行仿真，对图像进行dct变换，探究变换后与原图像的差别(Using MATLAB simulation, the image dct transform, transform and explore the difference between the original image)
- 2010-11-12 10:59:30下载
- 积分：1
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matlab_code.txt
刚好这里有一个现成的
，自己编程剔除数据异常值。(Here are just a ready-made, its own programming excluding data outliers.)
- 2013-06-16 21:42:10下载
- 积分：1
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MATLABpractice
战胜matlab比做练习题，非常有用的学习资料，用它学习matlab，从入门到精通，面面俱到(Matlab exercises to overcome than done, a very useful learning materials, use it to learn matlab, from entry to the master, everything)
- 2008-04-17 17:17:47下载
- 积分：1
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hiperlan2
一个用Simulink做的基于OFDM的Hiperlan/2程序(Using Simulink to do an OFDM-based Hiperlan/2 procedures)
- 2009-05-02 21:26:55下载
- 积分：1
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GPA
用Matlab写的四种GPA计算方法
(Four GPA calculation method written in Matlab)
- 2012-04-18 13:27:57下载
- 积分：1
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Manning.iText.in.Action.2nd.Edition.Oct.2010_2
Its a beautiful book explaining the java itext library with suitable examples and many other help topics
- 2013-04-29 15:21:17下载
- 积分：1
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Backpropagation
back probagation in neural network
- 2010-05-27 06:02:50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
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various_filter
various filters using matlab mfile
- 2011-01-12 08:44:29下载
- 积分：1
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bluetooth_FM
基于matlab的蓝牙调频通信系统仿真程序(Bluetooth FM communication system simulation program matlab)
- 2011-01-12 22:24:37下载
- 积分：1
