Blind Source Separation (BSS) is a computational method used to extract individual source signals from a set of mixed signals without prior information about the sources or the mixing process. It is widely used in fields like audio processing, biomedical signal analysis, and telecommunications to isolate and analyze individual components from complex data sets.