CUED Publications database

Multi-channel signal separation

Chan, DCB and Rayner, PJW and Godsill, SJ (1996) Multi-channel signal separation. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2. pp. 649-652. ISSN 0736-7791

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The separation of independent sources from mixed observed data is a fundamental and challenging problem. In many practical situations, observations may be modelled as linear mixtures of a number of source signals, i.e. a linear multi-input multi-output system. A typical example is speech recordings made in an acoustic environment in the presence of background noise and/or competing speakers. Other examples include EEG signals, passive sonar applications and cross-talk in data communications. In this paper, we propose iterative algorithms to solve the n × n linear time invariant system under two different constraints. Some existing solutions for 2 × 2 systems are reviewed and compared.

Item Type: Article
Divisions: Div F > Signal Processing and Communications
Depositing User: Unnamed user with email
Date Deposited: 17 Jul 2017 19:42
Last Modified: 22 Oct 2019 07:15