基于混合模型的在线非平稳ICA

2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100) Pub Date : 2000-06-05 DOI:10.1109/ICASSP.2000.861205

A. Ahmed, C. Andrieu, A. Doucet, P. Rayner

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引用次数: 9

摘要

在本文中，我们解决了在线源分离的问题，其中源建模为通过一系列非平稳混合矩阵线性组合的高斯混合源。从观测中在线恢复源是一个非线性统计滤波问题，我们使用最先进的粒子滤波方法来解决这个问题。最后进行了仿真，得到了满意的结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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On-line non-stationary ICA using mixture models

In this paper we address the problem of on-line source separation with sources modelled as mixtures of Gaussians 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 address using state of the art particle filter methods. Simulations are presented and satisfactory results are obtained.

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2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100)

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