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Feature Extraction of a Non-Stationary Seismic–Acoustic Signal Using a High-Resolution Dyadic Spectrogram
Using a novel mathematical tool called the [Formula: see text]-gram, researchers analyzed the energy distribution of frequency components in the scale–frequency plane. Through this analysis, a frequency band of approximately 12 Hz is identified, which can be isolated without distorting its constitue...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346299/ https://www.ncbi.nlm.nih.gov/pubmed/37447901 http://dx.doi.org/10.3390/s23136051 |
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author | Seuret-Jiménez, Diego Trutié-Carrero, Eduardo Nieto-Jalil, José Manuel García-Aquino, Erick Daniel Díaz-González, Lorena Carballo-Sigler, Laura Quintana-Fuentes, Daily Gaggero-Sager, Luis Manuel |
author_facet | Seuret-Jiménez, Diego Trutié-Carrero, Eduardo Nieto-Jalil, José Manuel García-Aquino, Erick Daniel Díaz-González, Lorena Carballo-Sigler, Laura Quintana-Fuentes, Daily Gaggero-Sager, Luis Manuel |
author_sort | Seuret-Jiménez, Diego |
collection | PubMed |
description | Using a novel mathematical tool called the [Formula: see text]-gram, researchers analyzed the energy distribution of frequency components in the scale–frequency plane. Through this analysis, a frequency band of approximately 12 Hz is identified, which can be isolated without distorting its constituent frequencies. This band, along with others, remained inseparable through conventional time–frequency analysis methods. The [Formula: see text]-gram successfully addresses this knowledge gap, providing multi-sensitivity in the frequency domain and effectively attenuating cross-term energy. The Daubechies 45 wavelet function was employed due to its exceptional 150 dB attenuation in the rejection band. The validation process encompassed three stages: pre-, during-, and post-seismic activity. The utilized signal corresponds to the 19 September 2017 earthquake, occurring between the states of Morelos and Puebla, Mexico. The results showcased the impressive ability of the [Formula: see text]-gram to surpass expectations in terms of sensitivity and energy distribution within the frequency domain. The [Formula: see text]-gram outperformed the procedures documented in the existing literature. On the other hand, the results show a frequency band between 0.7 Hz and 1.75 Hz, which is named the planet Earth noise. |
format | Online Article Text |
id | pubmed-10346299 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-103462992023-07-15 Feature Extraction of a Non-Stationary Seismic–Acoustic Signal Using a High-Resolution Dyadic Spectrogram Seuret-Jiménez, Diego Trutié-Carrero, Eduardo Nieto-Jalil, José Manuel García-Aquino, Erick Daniel Díaz-González, Lorena Carballo-Sigler, Laura Quintana-Fuentes, Daily Gaggero-Sager, Luis Manuel Sensors (Basel) Article Using a novel mathematical tool called the [Formula: see text]-gram, researchers analyzed the energy distribution of frequency components in the scale–frequency plane. Through this analysis, a frequency band of approximately 12 Hz is identified, which can be isolated without distorting its constituent frequencies. This band, along with others, remained inseparable through conventional time–frequency analysis methods. The [Formula: see text]-gram successfully addresses this knowledge gap, providing multi-sensitivity in the frequency domain and effectively attenuating cross-term energy. The Daubechies 45 wavelet function was employed due to its exceptional 150 dB attenuation in the rejection band. The validation process encompassed three stages: pre-, during-, and post-seismic activity. The utilized signal corresponds to the 19 September 2017 earthquake, occurring between the states of Morelos and Puebla, Mexico. The results showcased the impressive ability of the [Formula: see text]-gram to surpass expectations in terms of sensitivity and energy distribution within the frequency domain. The [Formula: see text]-gram outperformed the procedures documented in the existing literature. On the other hand, the results show a frequency band between 0.7 Hz and 1.75 Hz, which is named the planet Earth noise. MDPI 2023-06-30 /pmc/articles/PMC10346299/ /pubmed/37447901 http://dx.doi.org/10.3390/s23136051 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Seuret-Jiménez, Diego Trutié-Carrero, Eduardo Nieto-Jalil, José Manuel García-Aquino, Erick Daniel Díaz-González, Lorena Carballo-Sigler, Laura Quintana-Fuentes, Daily Gaggero-Sager, Luis Manuel Feature Extraction of a Non-Stationary Seismic–Acoustic Signal Using a High-Resolution Dyadic Spectrogram |
title | Feature Extraction of a Non-Stationary Seismic–Acoustic Signal Using a High-Resolution Dyadic Spectrogram |
title_full | Feature Extraction of a Non-Stationary Seismic–Acoustic Signal Using a High-Resolution Dyadic Spectrogram |
title_fullStr | Feature Extraction of a Non-Stationary Seismic–Acoustic Signal Using a High-Resolution Dyadic Spectrogram |
title_full_unstemmed | Feature Extraction of a Non-Stationary Seismic–Acoustic Signal Using a High-Resolution Dyadic Spectrogram |
title_short | Feature Extraction of a Non-Stationary Seismic–Acoustic Signal Using a High-Resolution Dyadic Spectrogram |
title_sort | feature extraction of a non-stationary seismic–acoustic signal using a high-resolution dyadic spectrogram |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346299/ https://www.ncbi.nlm.nih.gov/pubmed/37447901 http://dx.doi.org/10.3390/s23136051 |
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