Automated approach for recovering modal components in shallow waters

International audience This paper proposes a fully automated method for recovering modal components from a signal in shallow waters. The scenario involves an unknown source emitting low-frequency sound waves in a shallow water environment, and a single hydrophone recording the signal. The proposed a...

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Published in:The Journal of the Acoustical Society of America
Main Authors: Niclas, Angèle, Garnier, Josselin
Other Authors: Centre de Mathématiques Appliquées de l'Ecole polytechnique (CMAP), École polytechnique (X), Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris)-Centre National de la Recherche Scientifique (CNRS), Analyse d’interactions stochastiques intelligentes et coopératives (ASCII), Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris)-Centre National de la Recherche Scientifique (CNRS)-École polytechnique (X), Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris)-Centre National de la Recherche Scientifique (CNRS)-Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2024
Subjects:
Online Access:https://hal.science/hal-04686158
https://doi.org/10.1121/10.0025471
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spelling ftinspolytechpar:oai:HAL:hal-04686158v1 2024-10-06T13:47:45+00:00 Automated approach for recovering modal components in shallow waters Niclas, Angèle Garnier, Josselin Centre de Mathématiques Appliquées de l'Ecole polytechnique (CMAP) École polytechnique (X) Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris)-Centre National de la Recherche Scientifique (CNRS) Analyse d’interactions stochastiques intelligentes et coopératives (ASCII) Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris)-Centre National de la Recherche Scientifique (CNRS)-École polytechnique (X) Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris)-Centre National de la Recherche Scientifique (CNRS)-Inria Saclay - Ile de France Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria) 2024-04-01 https://hal.science/hal-04686158 https://doi.org/10.1121/10.0025471 en eng HAL CCSD Acoustical Society of America info:eu-repo/semantics/altIdentifier/doi/10.1121/10.0025471 hal-04686158 https://hal.science/hal-04686158 doi:10.1121/10.0025471 ISSN: 0001-4966 EISSN: 1520-8524 Journal of the Acoustical Society of America https://hal.science/hal-04686158 Journal of the Acoustical Society of America, 2024, 155 (4), pp.2347-2358. ⟨10.1121/10.0025471⟩ [MATH]Mathematics [math] info:eu-repo/semantics/article Journal articles 2024 ftinspolytechpar https://doi.org/10.1121/10.0025471 2024-09-10T23:38:00Z International audience This paper proposes a fully automated method for recovering modal components from a signal in shallow waters. The scenario involves an unknown source emitting low-frequency sound waves in a shallow water environment, and a single hydrophone recording the signal. The proposed automated algorithm is based on the warping method to separate each modal component in the time-frequency space. However, instead of manually choosing a single arrival time for extraction, the method performs successive extractions with automated time selection based on an explicit quality factor. Modal component separation is achieved through a watershed algorithm, streamlining the process and eliminating the need for manual intervention. The proposed method is tested on experimental data of a right whale gunshot, a combustive sound source, and a bowhead whale upsweep, demonstrating its effectiveness in real-world scenarios. Article in Journal/Newspaper bowhead whale HAL de l'Institut Polytechnique de Paris The Journal of the Acoustical Society of America 155 4 2347 2358
institution Open Polar
collection HAL de l'Institut Polytechnique de Paris
op_collection_id ftinspolytechpar
language English
topic [MATH]Mathematics [math]
spellingShingle [MATH]Mathematics [math]
Niclas, Angèle
Garnier, Josselin
Automated approach for recovering modal components in shallow waters
topic_facet [MATH]Mathematics [math]
description International audience This paper proposes a fully automated method for recovering modal components from a signal in shallow waters. The scenario involves an unknown source emitting low-frequency sound waves in a shallow water environment, and a single hydrophone recording the signal. The proposed automated algorithm is based on the warping method to separate each modal component in the time-frequency space. However, instead of manually choosing a single arrival time for extraction, the method performs successive extractions with automated time selection based on an explicit quality factor. Modal component separation is achieved through a watershed algorithm, streamlining the process and eliminating the need for manual intervention. The proposed method is tested on experimental data of a right whale gunshot, a combustive sound source, and a bowhead whale upsweep, demonstrating its effectiveness in real-world scenarios.
author2 Centre de Mathématiques Appliquées de l'Ecole polytechnique (CMAP)
École polytechnique (X)
Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris)-Centre National de la Recherche Scientifique (CNRS)
Analyse d’interactions stochastiques intelligentes et coopératives (ASCII)
Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris)-Centre National de la Recherche Scientifique (CNRS)-École polytechnique (X)
Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris)-Centre National de la Recherche Scientifique (CNRS)-Inria Saclay - Ile de France
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
format Article in Journal/Newspaper
author Niclas, Angèle
Garnier, Josselin
author_facet Niclas, Angèle
Garnier, Josselin
author_sort Niclas, Angèle
title Automated approach for recovering modal components in shallow waters
title_short Automated approach for recovering modal components in shallow waters
title_full Automated approach for recovering modal components in shallow waters
title_fullStr Automated approach for recovering modal components in shallow waters
title_full_unstemmed Automated approach for recovering modal components in shallow waters
title_sort automated approach for recovering modal components in shallow waters
publisher HAL CCSD
publishDate 2024
url https://hal.science/hal-04686158
https://doi.org/10.1121/10.0025471
genre bowhead whale
genre_facet bowhead whale
op_source ISSN: 0001-4966
EISSN: 1520-8524
Journal of the Acoustical Society of America
https://hal.science/hal-04686158
Journal of the Acoustical Society of America, 2024, 155 (4), pp.2347-2358. ⟨10.1121/10.0025471⟩
op_relation info:eu-repo/semantics/altIdentifier/doi/10.1121/10.0025471
hal-04686158
https://hal.science/hal-04686158
doi:10.1121/10.0025471
op_doi https://doi.org/10.1121/10.0025471
container_title The Journal of the Acoustical Society of America
container_volume 155
container_issue 4
container_start_page 2347
op_container_end_page 2358
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