Non-stationary independent component analysis

摘要

Blind source separation with non-stationary mixing, but stationary sources is considered. The linear mixing of the independent sources is modelled as evolving according to a first order Markov process, and a method for tracking the mixing andsimultaneously inferring the sources is presented. Observational noise is included in the model. The technique is illustrated with numerical examples.