考虑非平稳性的盲信号分离

Proceedings of the 1999 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics. WASPAA'99 (Cat. No.99TH8452) Pub Date : 1999-09-16 DOI:10.1109/ASPAA.1999.810862

A. Ahmed, P. Rayner, S. Godsill

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引用次数: 5

摘要

我们研究了非平稳性在信号分离中的应用。采用二阶解相关方法分离由卷积混合的平稳块组成的合成独立自回归信号。我们将不考虑非平稳性的结果与考虑非平稳性的结果进行比较。在某些条件下，利用非平稳性可以获得更稳健的分离。我们给出的仿真结果证明了这一事实。此外，我们将去相关方法应用于真实麦克风信号，以了解利用非平稳性如何影响分离质量。

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Considering non-stationarity for blind signal separation

We investigate the exploitation of non-stationarity for signal separation. A second-order decorrelation method is used to separate synthetic independent autoregressive signals that are made up of stationary blocks that have been convolutively mixed. We compare results obtained by not taking into account the non-stationarity with those that do. Under certain conditions, exploiting non-stationarity results in more robust separation. We present simulation results that vindicate this fact. In addition, we apply the decorrelation method to real microphone signals, to see how exploiting non-stationarity affects separation quality.

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来源期刊

Proceedings of the 1999 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics. WASPAA'99 (Cat. No.99TH8452)

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