Title :
A super-resolution beamforming algorithm for spherical microphone arrays using a compressed sensing approach
Author :
Wu, Ping Kun Tony ; Epain, Nicolas ; Jin, C.
Author_Institution :
Comput. & Audio Res. Lab. (CARLab), Univ. of Sydney, Sydney, NSW, Australia
Abstract :
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.
Keywords :
array signal processing; compressed sensing; harmonic analysis; microphone arrays; signal resolution; compressed sensing approach; compressed sensing technique; formal listening test; performance evaluation; source signals; sparse recovery; spherical harmonic domain; spherical microphone arrays; super-resolution beamforming algorithm; Acoustics; Array signal processing; Microphone arrays; Signal processing algorithms; Signal resolution; Spatial resolution; Beamforming; Compressed Sensing; Source Localization; Spherical Microphone Arrays;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location :
Vancouver, BC
DOI :
10.1109/ICASSP.2013.6637728
