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MIMO_OFDM
说明： MIMO-OFDM技术，提供的关于MIMO_OFDM技术仿真(MIMO-OFDM technology to provide technical simulation on MIMO_OFDM)
- 2008-11-12 10:09:42下载
- 积分：1
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INS
惯性导航算法，有输入数据，在MATLAB下的哦，直接就可以运行得通，惯性技术作业哦!(Inertial navigation algorithm, the input data in MATLAB Oh, it can be shipped directly works, inertial technology jobs oh!)
- 2013-11-24 23:43:11下载
- 积分：1
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signal
北理工信号考研笔记，有需要的人可以下下来看看(North Polytechnic signal Kaoyan Notes)
- 2010-10-29 19:59:31下载
- 积分：1
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energy
energy leach a new version
- 2012-04-15 03:13:38下载
- 积分：1
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danshenjingyuan
说明： 用于单神经元控制的pid整定，还加带其他两种普通PID整定的对比试验(PID tuning for single neuron control)
- 2020-06-17 21:49:37下载
- 积分：1
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imfill_matlab
matlab中imfill函数的C语言实现，重建函数之前的部分是根据不不跟进的方式进入MATLAB内部实现的(matlab imfill)
- 2015-03-05 14:09:15下载
- 积分：1
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LaplacianSocre
计算特征的拉普拉斯得分，用于实现特征筛选。(Laplace calculated feature score for feature selection.)
- 2016-06-27 18:26:42下载
- 积分：1
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matlab
学习使用matlab进行有限元编程的好指导书(Learning to use matlab for finite element programming a good guide book)
- 2007-10-16 21:08:04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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pmsm1
matlab pmsm simulink example
- 2011-06-21 20:02:39下载
- 积分：1
