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Laser interferometer measurement and reconstruction of supersonic projectile acoustic pressure fields

The Journal of the Acoustical Society of America, 2024-03, Vol.155 (3_Supplement), p.A260-A260

2024

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Influence of refracting atmospheric profiles on trace velocity and arrival time

The Journal of the Acoustical Society of America, 2024-03, Vol.155 (3_Supplement), p.A200-A200

2024

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Low-frequency acoustic rotorcraft classification

The Journal of the Acoustical Society of America, 2023-03, Vol.153 (3_supplement), p.A318-A318

2023

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Geospatial estimation of noise levels between sparsely distributed sensor nodes using machine learning

The Journal of the Acoustical Society of America, 2018-09, Vol.144 (3), p.1685-1685

2018

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Resonant Willis metamaterials based on fractal geometry

The Journal of the Acoustical Society of America, 2023-03, Vol.153 (3_supplement), p.A165-A165

2023

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Machine learning for spatial interpolation of noise monitor levels

The Journal of the Acoustical Society of America, 2018-03, Vol.143 (3), p.1716-1716

2018

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Interferometric measurements of supersonic projectile acoustic signatures

The Journal of the Acoustical Society of America, 2020-10, Vol.148 (4), p.2570-2570

2020

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Active learning for acoustic classification

The Journal of the Acoustical Society of America, 2017-10, Vol.142 (4), p.2620-2620

2017

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The effect of sample rate reduction and audio compression on noise metric accuracy and statistical learning classifier performance

The Journal of the Acoustical Society of America, 2016-10, Vol.140 (4), p.3424-3424

2016

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Design and optimization of membrane-type acoustic metamaterials using genetic algorithms

The Journal of the Acoustical Society of America, 2016-10, Vol.140 (4), p.3431-3431

2016

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Improving practices through analysis of long-term microphone calibration records

The Journal of the Acoustical Society of America, 2018-03, Vol.143 (3), p.1905-1905

2018

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A broadband impulsive signal detection filter for unknown acoustic sources in outdoor environments using non-coplanar microphone arrays

The Journal of the Acoustical Society of America, 2018-09, Vol.144 (3), p.1829-1829

2018

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Bayesian classification of environmental noise sources

The Journal of the Acoustical Society of America, 2017-05, Vol.141 (5), p.3522-3522

2017

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Improved feature extraction for environmental acoustic classification

The Journal of the Acoustical Society of America, 2017-05, Vol.141 (5), p.3964-3964

2017

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An impedance-mobility model of stacked membrane-type acoustic metamaterials

The Journal of the Acoustical Society of America, 2015-04, Vol.137 (4_Supplement), p.2298-2298

2015

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Analysis and virtual modification of the acoustics in the Nebraska Wesleyan University campus theatre auditorium

The Journal of the Acoustical Society of America, 2014-10, Vol.136 (4_Supplement), p.2126-2126

2014

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Effects of local and global meteorological data on predicting blast noise levels

The Journal of the Acoustical Society of America, 2016-10, Vol.140 (4), p.3194-3194

2016

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Weather focused challenges for continuous monitoring of military noise

The Journal of the Acoustical Society of America, 2018-09, Vol.144 (3), p.1828-1828

2018

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Bias and reproducibility of sound power test methods

The Journal of the Acoustical Society of America, 2014-04, Vol.135 (4_Supplement), p.2203-2203

2014

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Uncertainty in acoustic metrics due to spatial variations of the non-diffuse sound field measured in a variable acoustics classroom

The Journal of the Acoustical Society of America, 2014-04, Vol.135 (4_Supplement), p.2205-2205

2014

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Uncertainty of normal-incidence absorption coefficient measurements using the two-microphone cross-spectral method

The Journal of the Acoustical Society of America, 2013-11, Vol.134 (5_Supplement), p.4004-4004

2013

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Deep learning for unsupervised feature extraction in audio signals: Monaural source separation

The Journal of the Acoustical Society of America, 2016-10, Vol.140 (4), p.3424-3424

2016

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Classification of environmental noise sources using machine-learning methods

The Journal of the Acoustical Society of America, 2015-09, Vol.138 (3_Supplement), p.1731-1731

2015

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Deep learning for unsupervised feature extraction in audio signals: A pedagogical approach to understanding how hidden layers recreate, separate, and classify audio signals

The Journal of the Acoustical Society of America, 2016-04, Vol.139 (4), p.2069-2069

2016

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Deep learning for unsupervised separation of environmental noise sources

The Journal of the Acoustical Society of America, 2017-05, Vol.141 (5), p.3964-3964

2017

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Laser interferometer measurement and reconstruction of supersonic projectile acoustic pressure fields

Influence of refracting atmospheric profiles on trace velocity and arrival time

Low-frequency acoustic rotorcraft classification

Geospatial estimation of noise levels between sparsely distributed sensor nodes using machine learning

Resonant Willis metamaterials based on fractal geometry

Machine learning for spatial interpolation of noise monitor levels

Interferometric measurements of supersonic projectile acoustic signatures

Active learning for acoustic classification

The effect of sample rate reduction and audio compression on noise metric accuracy and statistical learning classifier performance

Design and optimization of membrane-type acoustic metamaterials using genetic algorithms

Improving practices through analysis of long-term microphone calibration records

A broadband impulsive signal detection filter for unknown acoustic sources in outdoor environments using non-coplanar microphone arrays

Bayesian classification of environmental noise sources

Improved feature extraction for environmental acoustic classification

An impedance-mobility model of stacked membrane-type acoustic metamaterials

Analysis and virtual modification of the acoustics in the Nebraska Wesleyan University campus theatre auditorium

Effects of local and global meteorological data on predicting blast noise levels

Weather focused challenges for continuous monitoring of military noise

Bias and reproducibility of sound power test methods

Uncertainty in acoustic metrics due to spatial variations of the non-diffuse sound field measured in a variable acoustics classroom

Uncertainty of normal-incidence absorption coefficient measurements using the two-microphone cross-spectral method

Deep learning for unsupervised feature extraction in audio signals: Monaural source separation

Classification of environmental noise sources using machine-learning methods

Deep learning for unsupervised feature extraction in audio signals: A pedagogical approach to understanding how hidden layers recreate, separate, and classify audio signals

Deep learning for unsupervised separation of environmental noise sources

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