Howtosignalprocessing
What is blind source separation problem?
Blind Source Separation (BSS) refers to a problem where both the sources and the mixing methodology are unknown, only mixture signals are available for further separation process. In several situations it is desirable to recover all individual sources from the mixed signal, or at least to segregate a particular source.
What is blind source separation in machine learning?
3.3 BSS and its application in BCI
BSS refers to a problem where the sources and the mixing matrix are indistinct and only observation signals are available for the separation procedure. The objective is to separate unknown and independent sources using observation signals.
