Blind source separation of time-varying instantaneous mixtures using an on-line algorithm
A blind source separation algorithm is presented that performs online separation of an unknown, time-varying, instantaneous mixture of independent sources. This procedure utilizes the information-theoretic MeRMald-SIG criterion and an on-line PCA algorithm, referred to as SIPEX-G, that has been recently submitted for publication. Results indicate that the combination of the two on-line criteria is able to track a rapidly changing mixing matrix. A performance comparison of separation criteria is also made using the same, aforementioned on-line PCA algorithm. Results show the superior performance of the proposed method.