scispace - formally typeset
Journal ArticleDOI

Subspace-based background subtraction applied to aeroacoustic wind tunnel testing:

TLDR
In this paper, a subspace-based background subtraction method was applied to aeroacoustic wind tunnel data to reduce the noise in the background of the aero-acoustic data.
Abstract
A subspace-based form of background subtraction is presented and applied to aeroacoustic wind tunnel data. A variant of this method has seen use in other fields such as climatology and medical imag...

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Citations
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Journal ArticleDOI

A 3D CNN-LSTM-Based Image-to-Image Foreground Segmentation

TL;DR: The analysis of experimental results via standard quantitative metrics on 16 benchmark datasets validates that the proposed 3D CNN-LSTM achieves competitive performance in terms of figure of merit evaluated against prior and state-of-the-art methods.
Proceedings ArticleDOI

Assessment of Unsteady Propagation Characteristics and Corrections in Aeroacoustic Wind Tunnels Using an Acoustic Pulse

TL;DR: In this paper, aeroacoustic wind tunnel test section configurations have been tested in the NASA Langley Quiet Flow Facility, where acoustic instrumentation is in the surrounding quiescent space.
Journal ArticleDOI

Unsteady Propagation and Mean Corrections in Open-Jet and Kevlar® Wind Tunnels

TL;DR: Two types of aeroacoustic wind-tunnel test section configurations have been tested in the NASA Langley Quiet Flow Facility as discussed by the authors, one is a more traditional open-jet configuration, where test sectio...
Journal ArticleDOI

An improved eigenvalue background noise reduction method for acoustic beamforming

TL;DR: A modification to an existing eigenvalue identification and subtraction method to locate sound sources in noisy environments found that the new method provides a very accurate location when compared with other techniques, and levels are comparable with those obtained with classical methods.
References
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Journal ArticleDOI

Computing a nearest symmetric positive semidefinite matrix

TL;DR: In this article, it was shown that in the Frobenius norm the nearest symmetric positive semidefinite matrix to an arbitrary real matrix A is (B + H)/2, where H is the symmetric polar factor of B=(A + AT)/2.
Journal ArticleDOI

A deconvolution approach for the mapping of acoustic sources (DAMAS) determined from phased microphone arrays

TL;DR: DecDeconvolution Approach for the Mapping of Acoustic Sources (DAMAS) as mentioned in this paper removes beamforming characteristics from output presentations, and a unique linear system of equations accounts for reciprocal influence at different locations over the array survey region.
Proceedings ArticleDOI

A Deconvolution Approach for the Mapping of Acoustic Sources (DAMAS) Determined from Phased Microphone Arrays

TL;DR: The Deconvolution Approach for the Mapping of Acoustic Sources (DAMAS) method removes beamforming characteristics from output presentations and appears to dramatically increase the value of arrays to the field of experimental acoustics.
Proceedings ArticleDOI

Extensions of DAMAS and Benefits and Limitations of Deconvolution in Beamforming

TL;DR: The DAMAS deconvolution algorithm represents a breakthrough in phased array imaging for aeroacoustics, potentially eliminating sidelobles and array resolution effects from beamform maps and two extensions are proposed.
Book ChapterDOI

Beamforming In Acoustic Testing

TL;DR: Non-intrusive measurements of wind tunnel model noise can be made in non-acoustic, hardwall wind tunnels, as well as free jets and other challenging settings, by using beamforming techniques with sparse, wide-band phased arrays of microphones.
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