Blind source separation becomes very difficult when sources exceed microphones

Evidence

Blind source separation – the goal here is to separate the components making up a combined signal. The task is relatively simple if the number of sources is at most equal to the number of microphones (Cardoso, 1998). Unfortunately, if the number of sources is higher, and if reflections and reverberation exist in the mixed signal, this task is very difficult. One of the main techniques in this field is independent component analysis (ICA) (Hyvärinen et al., 2004). — Ville Pulkki, Matti Karjalainen, Communication Acoustics- An…, 2586

Categorization

• DEFINE: Defines blind source separation and ICA and their key constraint condition.
• corroborated: 2 independent passages support this claim — Ville Pulkki, Matti Karjalainen, Communication Acoustics- An…, 2586
• XREF: connects to: Auditory streaming explains how listeners separate loudspeaker from room sound; Binaural listening improves source audibility by 0–8 dB in multi-source scenes

Broader Connections

• Binaural listening improves source audibility by 0–8 dB in multi-source scenes #qualifies (0.80)
• Auditory streaming explains how listeners separate loudspeaker from room sound #responds-to (0.75)