A super-resolution beamforming algorithm for spherical microphone arrays using a compressed sensing approach
Ping Kun Tony Wu, Nicolas Épain, Craig T Jin · 2013
In this paper, we present a novel beamforming algorithm that is designed for spherical microphone arrays and formulated in the spherical harmonic domain. The proposed algorithm employs sparse recovery, a compressed sensing technique, and assumes the position of the source signals are unknown. A formal listening test was conducted to evaluate the performance of the proposed algorithm and the results indicate the effectiveness of the proposed algorithm.