A Bayesian method for positive source separation
Saïd Moussaoui, David Brie, Olivier Caspary, Ali Mohammad‐Djafari · 2004
The paper considers the problem of source separation in the particular case where both the sources and the mixing coefficients are positive. The proposed method addresses the problem in a Bayesian framework. We assume a gamma distribution for the spectra and the mixing coefficients. This prior distribution enforces the non-negativity. This leads to an original method for positive source separation. A simulation example is presented to illustrate the effectiveness of the method.