On blind separation of nonstationary signals

被引：0
|
作者：
Cirillo, LA [1 ]
Zoubir, AM [1 ]
机构：
[1] TH Darmstadt, Signal Proc Grp, D-64283 Darmstadt, Germany
来源：
ISSPA 2005: The 8th International Symposium on Signal Processing and its Applications, Vols 1 and 2, Proceedings | 2005年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper we consider a time-frequency based approach to blind separation of nonstationary signals. In particular, we propose a time-frequency 'point selection' algorithm based on multiple hypothesis testing, which allows automatic selection of auto- or cross-source locations on the time-frequency plane. The chosen points are used via a joint diagonalization and off-diagonalization algorithm to perform source separation. A performance comparison of the proposed and existing approaches is provided.
引用
收藏
页码：41 / 45
页数：5
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