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freqsyncyclicprefix
frequency synchronization for ofdm
- 2009-10-24 18:07:52下载
- 积分:1
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the11part
matlab算法第11章内容其他部分陆续上传中请稍后(matlab algorithm for the content of other parts of Chapter 11 in succession, please upload later)
- 2010-05-25 16:51:02下载
- 积分:1
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Ncut_9
归一化切割和图像分割算法及其论文,归一化分割不仅度量了不同分组之间总体不相似性,同时度量了分组内的总体相似性(Normalized cuts and image segmentation algorithm and its papers, normalized measure divided not only between the different groups no overall similarity, while the overall measure of similarity within groups)
- 2017-01-10 11:22:08下载
- 积分:1
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IsenDSPSoftware
This file can be used in matlab to implement easy fft. it is very effective and good method to implement easy fft.
- 2010-11-10 01:48:41下载
- 积分:1
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mfcosomo
Function Toolbox hope u like it
- 2010-12-03 20:47:52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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Wine-Type-Identification
SVM神经网络的数据分类预测-葡萄酒种类识别(SVM neural network data classification forecast- Wine Type Identification)
- 2013-07-11 09:36:33下载
- 积分:1
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main
不错的粒子群程序,对初学者很有帮助,有完整的注释,通过了测试,可以很好的运行,希望对初学者有帮助。(Good PSO program, useful for beginners, complete notes, passed the test can be a good run, and I hope to help beginners.)
- 2013-12-09 16:55:59下载
- 积分:1
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chaper3
《机器人控制系统设计与matlab仿真》第三章“机器人神经网络自适应控制”源代码(" Robot control system design and the matlab simulation" " robot neural network adaptive control source code)
- 2013-04-25 14:17:04下载
- 积分:1
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matlab
matlab basic on fir,matlab basic on fir
- 2011-12-27 14:45:42下载
- 积分:1