Multichannel signal processing is an academic field and methodological approach focused on the analysis, manipulation, and interpretation of data acquired concurrently from multiple distinct channels or sensors. It investigates techniques to exploit the spatial, temporal, or statistical relationships between these channels to achieve superior performance in tasks such as source separation, noise suppression, and information extraction compared to single-channel methods.