Blind source separation for overdetermined linear quadratic mixtures of bandlimited signals
Rafael Assato Ando, Leonardo Tomazeli Duarte, Romis Attux · 2014
In this paper, we address the problem of blind source separation for linear quadratic mixtures. The proposed approach relies on the assumption that the input signals are band-limited. As the nonlinearity of the mixing process tends to widen the spectra of the mixture signals, and taking into account the fact that there are more mixtures than sources in the overdetermined version of the problem, we propose a method that uses the additional mixtures to eliminate the nonlinearities of the observed signals. This gives rise to a linear problem that can be solved with standard methods previously analyzed in the literature. Numerical experiments show that the proposed algorithm successfully separates the sources under the proposed conditions.