Abstract
Blind source separation (BSS) has been extensively studied in the fields of signal processing and machine learning. The goal of BSS is to recover a set of signals (sources) solely from the observation of mixtures of these sources, which constitutes an unsupervised learning task. Aiming to contribute to the search for new optimization strategies in the context of BSS, we shall investigate …