Literature DB >> 28147626

A sparse equivalent source method for near-field acoustic holography.

Efren Fernandez-Grande1, Angeliki Xenaki1, Peter Gerstoft2.   

Abstract

This study examines a near-field acoustic holography method consisting of a sparse formulation of the equivalent source method, based on the compressive sensing (CS) framework. The method, denoted Compressive-Equivalent Source Method (C-ESM), encourages spatially sparse solutions (based on the superposition of few waves) that are accurate when the acoustic sources are spatially localized. The importance of obtaining a non-redundant representation, i.e., a sensing matrix with low column coherence, and the inherent ill-conditioning of near-field reconstruction problems is addressed. Numerical and experimental results on a classical guitar and on a highly reactive dipole-like source are presented. C-ESM is valid beyond the conventional sampling limits, making wide-band reconstruction possible. Spatially extended sources can also be addressed with C-ESM, although in this case the obtained solution does not recover the spatial extent of the source.

Entities:  

Year:  2017        PMID: 28147626     DOI: 10.1121/1.4974047

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  3 in total

1.  Estimation of surface impedance at oblique incidence based on sparse array processing.

Authors:  Antoine Richard; Efren Fernandez-Grande; Jonas Brunskog; Cheol-Ho Jeong
Journal:  J Acoust Soc Am       Date:  2017-06       Impact factor: 1.840

2.  A Ratio Model of L1/L2 Norm for Sound Source Identification.

Authors:  Linsen Huang; Zhongming Xu; Zhifei Zhang; Yansong He
Journal:  Sensors (Basel)       Date:  2020-09-16       Impact factor: 3.576

3.  A Physics-Informed Neural Network Approach for Nearfield Acoustic Holography.

Authors:  Marco Olivieri; Mirco Pezzoli; Fabio Antonacci; Augusto Sarti
Journal:  Sensors (Basel)       Date:  2021-11-25       Impact factor: 3.576

  3 in total

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