IEEE Transactions on Audio, Speech, and Language Processing
Convolutive transfer function generalized sidelobe canceler
IEEE Transactions on Audio, Speech, and Language Processing
On spatial aliasing in microphone arrays
IEEE Transactions on Signal Processing
On optimal frequency-domain multichannel linear filtering for noise reduction
IEEE Transactions on Audio, Speech, and Language Processing
New insights into the MVDR beamformer in room acoustics
IEEE Transactions on Audio, Speech, and Language Processing
Gaussian model-based multichannel speech presence probability
IEEE Transactions on Audio, Speech, and Language Processing
Performance Study of the MVDR Beamformer as a Function of the Source Incidence Angle
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP)
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Although many microphone-array beamforming algorithms have been developed over the past few decades, most such algorithms so far can only offer limited performance in practical acoustic environments. The reason behind this has not been fully understood and further research on this matter is indispensable. In this paper, we treat a microphone array as a multiple-input multiple-output (MIMO) system and study its signal-enhancement performance. Our major contribution is fourfold. First, we develop a general framework for analyzing performance of beamforming algorithms based on the acoustic MIMO channel impulse responses. Second, we study the bounds for the length of the beamforming filter, which in turn shows the performance bounds of beamforming in terms of speech dereverberation and interference suppression. Third, we address the connection between beamforming and the multiple-input/output inverse theorem (MINT). Finally, we discuss the intrinsic relationships among different classical beamforming techniques and explain, from the channel condition perspective, what the prerequisites are for those techniques to work