Compressive acoustic holography with block-sparse regularization

Efren Fernandez Grande*, Laurent Daudet

*Corresponding author for this work

    Research output: Contribution to journalJournal articleResearchpeer-review

    154 Downloads (Pure)


    Sparse reconstruction methods, such as Compressive Sensing, are powerful methods in acoustic array processing, as they make wideband reconstruction possible. However, when addressing sound fields that are not necessarily sparse (e.g., in acoustic near-fields, reflective environments, extended sources, etc.), the methods can lead to a poor reconstruction of the sound field. This study examines the use of sparse analysis priors to promote block-sparse solutions. In particular, a Fused Total Generalized Variation (F-TGV) method is developed, to analyze the sound field in the near-field of acoustic sources. The method promotes sparsity both on the spatial derivatives of the solution and on the solution itself, thus seeking solutions where the non-zero coefficients are grouped together. The performance of the method is examined numerically and experimentally, and compared with established methods. The results indicate that the F-TGV method is suitable to examine both compact and spatially extended sources. The method is promising for its generality, robustness to noise, and the capability to provide a wideband reconstruction of sound fields that are not necessarily sparse.
    Original languageEnglish
    JournalJournal of the Acoustical Society of America
    Issue number6
    Pages (from-to)3737-3746
    Publication statusPublished - 2018

    Bibliographical note

    Copyright 2018: Acoustical Society of America. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the Acoustical Society of America.


    Dive into the research topics of 'Compressive acoustic holography with block-sparse regularization'. Together they form a unique fingerprint.

    Cite this