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 0736-7791Full text not available from this repository.
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.
|Divisions:||Div F > Signal Processing and Communications|
|Depositing User:||Cron job|
|Date Deposited:||16 Jul 2015 13:31|
|Last Modified:||31 Jul 2015 02:46|