非线性混叠信号的可分离性及分离方法研究

刘琚; 聂开宝; 何振亚

非线性混叠信号的可分离性及分离方法研究

刘琚^{①;聂开宝},
聂开宝,
何振亚

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- 被引次数: 0
出版历程
- 收稿日期: 2001-07-12
- 修回日期: 2002-01-07
- 刊出日期: 2003-01-19

On separability and separating method of nonlinear mixed signals

Liu Ju^{①;聂开宝},
Nie Kaibao,
He Zhenya

摘要

摘要: 该文分析了非线性混叠信号的可分离性及分离条件,指出现阶段非线性混叠信号盲分离的局限性。将Edgeworth展开代入信息后向传输算法中,通过一种新的自适应累积量估计方法,克服了原算法指出的Edgeworth展开在盲信号分离中的缺限。计算机仿真结果表明了所提算法在特定非线性混叠模型信号分离的效果,我们还对不同的方法进行了分析对比,指出了累积量对不同算法的影响。
- 非线性; 盲源分离; 高阶累积量
Abstract: The separability and separating conditions for mixed signals are analyzed in this paper. The limitation of nonlinear blind source separation methods is proposed. A new nonlinear BSS approach is developed by applying Edgeworth expansion and adaptive cumulant estimation into information back propagation algorithm. Computer simulation shows the validity of the proposed algorithm in some ad hoc model. A comparison with the Gram-Charlier expansion method is given.

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参考文献(1)

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