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Compressive sensing with a spherical microphone array
Author(s) -
Efrén Fernández-Grande,
Angeliki Xenaki
Publication year - 2016
Publication title -
the journal of the acoustical society of america
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.619
H-Index - 187
eISSN - 1520-8524
pISSN - 0001-4966
DOI - 10.1121/1.4942546
Subject(s) - compressed sensing , microphone , microphone array , acoustics , computer science , minification , basis (linear algebra) , norm (philosophy) , sparse array , algorithm , mathematics , physics , geometry , loudspeaker , law , political science , programming language
A wave expansion method is proposed in this work, based on measurements with a spherical microphone array, and formulated in the framework provided by Compressive Sensing. The method promotes sparse solutions via ℓ1-norm minimization, so that the measured data are represented by few basis functions. This results in fine spatial resolution and accuracy. This publication covers the theoretical background of the method, including experimental results that illustrate some of the fundamental differences with the "conventional" least-squares approach. The proposed methodology is relevant for source localization, sound field reconstruction, and sound field analysis.

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