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In theory the linearly constrained minimum variance (LCMV) beamformer can achieve perfect dereverberation and noise cancellation when the acoustic transfer functions (ATFs) between all sources (including interferences) and the microphones are known. However, blind estimation of the ATFs remains a difficult task. In this paper the noise reduction of the LCMV beamformer is analyzed and compared with...
We present a new technique to localize multiple scattered sources and estimate their angular spreads (ASs). We take into account the partial stationarity of the channel and propose a two-stage approach to estimate the ASs and the nominal angles of arrival (AoAs) of the sources. First, we blindly estimate the channels over several data blocks regularly spaced by intervals larger than the coherence...
In this contribution, we adopt a novel and simple narrowband approach to blind separation of mutually independent and temporally i.i.d. sources in convolutive MIMO mixtures. After remodelling the observation at the sensor array as an instantaneous mixture where the delayed replicas of the desired signals from multipath propagation are seen as separate sources independent of each other, we estimate...
The problem of noise reduction has attracted a considerable amount of research attention over the past several decades. Among the numerous techniques that were developed, the optimal Wiener filter can be considered as one of the most fundamental noise reduction approaches, which has been delineated in different forms and adopted in various applications. Although it is not a secret that the Wiener...
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