On-line non-stationary ICA using mixture models

被引：0
|
作者：
Ahmed, A [1 ]
Andrieu, C [1 ]
Doucet, A [1 ]
Rayner, PJW [1 ]
机构：
[1] Univ Cambridge, Dept Engn, Signal Proc Lab, Cambridge CB2 1PZ, England
来源：
2000 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, PROCEEDINGS, VOLS I-VI | 2000年
关键词：
D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
In this paper we address the problem of on-line source separation with sources modelled as mixtures of Gaussian which are linearly combined via a series of non-stationary mixing matrices. The online recovery of the sources from the observations is a non-linear statistical filtering problem that we propose to address using state of the art particle filter methods. Simulations are presented and satisfactory results are obtained.
引用
收藏
页码：3148 / 3151
页数：4
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