Blind source separation: a unified approach
In this paper we propose a unified approach for separating the mixture of sub-Gaussian and super-Gaussian sources. Two different density models have been used for representing sub-Gaussian and super-Gaussian signals. Optimization of the objective function yields two different nonlinear functions. Simulations with audio signals demonstrate effectiveness of the proposed approach.
objective function blind source separation (bss) edgeworth expansion