The 'Unmix Model' is commonly used for source separation in signal processing and other fields, aiming to decompose a complex mixture into its constituent components. This model uses mathematical techniques to discern and extract individual signals or sources from a mixture, which is crucial in applications like audio processing, medical imaging, and remote sensing.