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Considering non-stationarity for blind signal separation

Ahmed, A and Rayner, PJW and Godsill, SJ (1999) Considering non-stationarity for blind signal separation. In: UNSPECIFIED pp. 111-114..

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Abstract

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.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Subjects: UNSPECIFIED
Divisions: Div F > Signal Processing and Communications
Depositing User: Cron Job
Date Deposited: 17 Jul 2017 19:04
Last Modified: 03 Aug 2017 03:21
DOI: