  We propose a novel information-theoretic approach for evaluating microphone
arrays that relies on the array physics and geometry rather than the underlying
beamforming algorithm. The analogy between Multiple-Input-Multiple-Output
(MIMO) wireless communication channel and the acoustic channel of microphone
arrays is exploited to define information measures of microphone arrays, which
provide upper bounds of the information rate of the microphone array system.
