Parsimonious sound field synthesis using compressive sampling

Georgios N. Lilis, Daniele Angelosante, Georgios B. Giannakis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Reproducing a sampled sound field over a two-dimensional area using an array of loudspeakers is a problem with well-appreciated applications to acoustics and ultrasound treatement. Loudspeaker signal design has traditionally relied on a (possibly regularized) least-squares criterion. The fresh look advocated here, permeates benefits from advances in variable selection and compressive sampling by casting the sound field synthesis as a sparse linear regression problem that is solved by the least absolute shrinkage and selection operator (Lasso). Analysis and simulations demonstrate that the novel approach exhibits superb performance even for under-sampled sound fields, where least-squares methods yield inconsistent field reproduction. In addition, Lasso-based synthesis enables judicious placement of parsimonious loudspeaker arrays.

Original languageEnglish (US)
Title of host publication2009 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2009
Pages253-256
Number of pages4
DOIs
StatePublished - Dec 1 2009
Event2009 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2009 - New Paltz, NY, United States
Duration: Oct 18 2009Oct 21 2009

Publication series

NameIEEE Workshop on Applications of Signal Processing to Audio and Acoustics

Other

Other2009 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2009
CountryUnited States
CityNew Paltz, NY
Period10/18/0910/21/09

Keywords

  • Compressive sampling
  • Lasso
  • Least-squares
  • Sparse regression
  • Wave field synthesis

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