Work

Introduction to compressive sensing in acoustics

Year: 2018

Type: article

Abstract: Compressive sensing (CS) in acoustics has received significant attention in the last decade, and thus motivates this special issue. CS emerged from the signal processing and applied math community and has since generated compelling results in acoustics. This special issue primarily addresses the acoustics CS topics of compressive beamforming and holography. For a sound field observed on a sensor array, CS reconstructs the direction of arrival of multiple sources using a sparsity constraint. Similarly, in holography a sparsity constraint gives improved sound field reconstruction over conventional ℓ2-regularization. Other topics in this issue include sparse array configurations (as co-arrays) and sparse sensing in acoustic communication.

Source: The Journal of the Acoustical Society of America

DOI: 10.1121/1.5043089

Authors: Peter Gerstoft, Christoph F. Mecklenbräuker, Woojae Seong, Michael Bianco

Institutions: University of California San Diego, TU Wien, Seoul National University

Language: English

Topic: Sparse and Compressive Sensing Techniques

Subfield: Computational Mechanics

Field: Engineering

Domain: Physical Sciences

Open Access status: bronze

Funder: Office of Naval Research

Awards: G2412404169, G8876996369