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

页码：3148 / 3151

页数：4

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