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wimax
wimax的 matlab仿真程序！802.16system wimax(802.16system wimax)
- 2009-04-05 19:00:48下载
- 积分：1
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ParallelWeka
Parallel Weka Algorithm
- 2014-11-26 14:19:38下载
- 积分：1
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matlab-help
MATLAB 中文 帮助 菜单（交互式窗口界面） (MATLAB Chinese Help menu (interactive window interface))
- 2013-09-24 00:55:08下载
- 积分：1
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EnergeDetection
关于认知无线电频谱感知的能量检测程序。希望大家互相交流！(On the energy spectrum sensing cognitive radio test procedures. Hope we can exchange ideas!)
- 2010-09-14 17:24:54下载
- 积分：1
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69039
Economic dispatch is the short-term determination of the optimal output of a number of electricity generation facilities, to meet the system load, at the lowest possible cost, subject to transmission and operational constraints.
- 2015-04-08 19:35:05下载
- 积分：1
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rayleigh
瑞利衰落仿真实验,提供了实验多的源程序，完整版
可以运行‘英文是ralyeight
文件名ralyeight(ralyeight)
- 2010-06-09 19:24:10下载
- 积分：1
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rejectaccept
rejectaccept method for monte carlo simulation
- 2013-08-08 06:14:16下载
- 积分：1
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LINGO
数据处理软件，模型优化LINGO软件，数学建模数值优化必备！(data processing)
- 2014-09-13 10:43:09下载
- 积分：1
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signalanalysis
一种全面进行信号分类与绘图的程序代码，对离散信号的处理很强大。(signal analysis)
- 2013-04-05 21:16:37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
