Multi-channel blind signal separation by decorrelation

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 crosstalk in data communications. 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