Telecommunication systems and human-machine interfaces have begun using
multiple microphones and loudspeakers to make conversation and
interaction more lifelike, and hence more efficient. This development
raises a variety of acoustic signal processing problems under
multiple-input multiple-output (MIMO) scenarios, encompassing distant
speech acquisition, sound source localization and tracking, echo and
noise control, source separation and speech dereverberation, and many
others. Acoustic MIMO Signal Processing presents the theoretical and the
practical in separate sections. The authors open by introducing an
acoustic MIMO paradigm, establishing the fundamental of the field, and
linking acoustic MIMO signal processing with the concepts of classical
signal processing and communication theories in terms of system
identification, equalization, and adaptive algorithms. The second part
of the book presents a novel and penetrating analysis of aforementioned
acoustic applications that is carried out in the paradigm to reinforce
the fundamental concepts of acoustic MIMO signal processing.