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.

Investigates a variety of acoustic signal processing problems in a unified platform Presents different and new audio signal processing technologies for next-generation multimedia communication systems Covers new technologies such as spherical microphone arrays, multichannel acoustic echo cancellation, robust time delay estimation in reverberant environments for source localization and scene analysis, and virtual spatial sound

Inhalt
Theory.- Acoustic MIMO Systems.- Wiener Filter and Basic Adaptive Algorithms.- Sparse Adaptive Filters.- Frequency-Domain Adaptive Filters.- Blind Identification of Acoustic MIMO Systems.- Separation and Suppression of Co-Channel and Temporal Interference.- Applications.- Acoustic Echo Cancellation and Audio Bridging.- Time Delay Estimation and Acoustic Source Localization.- Speech Enhancement and Noise Reduction.- Source Separation and Speech Dereverberation.