Separation of independent/dependent sources using copulas

In this paper, we introduce a new convolutive blind source separation approach for independent/dependent source components. The proposed approach represents an efficient tool for separating linear convolutive mixing models, especially, when the source components are statistically dependent. Its efficiency is illustrated by some simulation results.