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cs.SD2017
Design of robust two-dimensional polynomial beamformers as a convex optimization problem with application to robot audition
Hendrik Barfuss, Markus Bachmann, Michael Buerger +2
We propose a robust two-dimensional polynomial beamformer design method, formulated as a convex optimization problem, which allows for flexible steering of a previously proposed da…
cs.SD2016
HRTF-based two-dimensional robust least-squares frequency-invariant beamformer design for robot audition
Hendrik Barfuss, Michael Buerger, Jasper Podschus +1
In this work, we propose a two-dimensional Head-Related Transfer Function (HRTF)-based robust beamformer design for robot audition, which allows for explicit control of the beamfor…