Blind Extraction of Intermittent Sources

被引：2
|
作者：
Rivet, Bertrand [1 ,2 ]
Duarte, Leonardo T. [3 ]
Jutten, Christian [1 ,2 ]
机构：
[1] Univ Grenoble, UMR 5216, CNRS, GIPSA Lab, Domain Univ,BP 46, F-38402 St Martin Dheres, France
[2] Univ Grenoble, CNRS, GIPSA Lab, UMR 5216, F-38402 St Martin Dheres, France
[3] Univ Estadual Campinas, DMO FEEC, DSP Com Lab, Campinas, Brazil
来源：
LATENT VARIABLE ANALYSIS AND SIGNAL SEPARATION | 2010年 / 6365卷
关键词：
Blind source separation; intermittent sources; second-order methods; generalized eigenvector decomposition; INSTANTANEOUS MIXTURES; SEPARATION; ALGORITHM;
D O I：
10.1007/978-3-642-15995-4_50
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this work, we tackle the problem of blind extraction of intermittent sources. Our approach is based on the generalized eigenvector decomposition of covariance matrices and extends previous works in two aspects: by developing a more precise technique to detect inactive periods and by building a more general yet more precise strategy to estimate the vectors that lead to the separation of the intermittent sources. Simulations are carried out to illustrate the effectiveness of our proposal.
引用
收藏
页码：402 / +
页数：3
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