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

fYear

2013

Firstpage

649

Lastpage

653

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on

Conference_Location

Vancouver, BC

ISSN

1520-6149

Type

conf

DOI

10.1109/ICASSP.2013.6637728

Filename

6637728