A general framework for extending classic array processing techniques to the underdetermined blind source separation problem

The underdetermined blind source separation problem is the one of separating a large number of sources using a smaller number of mixtures. The DUET algorithm presents a solution to the underdetermined blind source separation problem, demixing an arbitrary number of speech signals from only 2 anechoic mixtures of them. Here the DUET method is presented as a general framework for extending classic array processing methods to the underdetermined blind source separation problem.