Application of adaptive wavelet thresholding to recovery geoacoustic signal pulse waveforms

Recorded geoacoustic signals often contain noise and interference. Their appearance is caused by various reasons, e.g. of propagation environment heterogeneity, weather condition influence, human activity, etc. So, geoacoustic emission signals contain a persistent background noise that changes in in...

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Autor principal:	Lukovenkova Olga
Formato:	article
Lenguaje:	EN
Publicado:	EDP Sciences 2021
Materias:	Physics QC1-999
Acceso en línea:	https://doaj.org/article/1d5e44ff0b0743968cafa4946db0b32a
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id	oai:doaj.org-article:1d5e44ff0b0743968cafa4946db0b32a
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spelling	oai:doaj.org-article:1d5e44ff0b0743968cafa4946db0b32a2021-11-12T11:44:52ZApplication of adaptive wavelet thresholding to recovery geoacoustic signal pulse waveforms2100-014X10.1051/epjconf/202125402004https://doaj.org/article/1d5e44ff0b0743968cafa4946db0b32a2021-01-01T00:00:00Zhttps://www.epj-conferences.org/articles/epjconf/pdf/2021/08/epjconf_strpep2021_02004.pdfhttps://doaj.org/toc/2100-014XRecorded geoacoustic signals often contain noise and interference. Their appearance is caused by various reasons, e.g. of propagation environment heterogeneity, weather condition influence, human activity, etc. So, geoacoustic emission signals contain a persistent background noise that changes in intensity over time. This noise significantly distorts the geoacoustic pulse waveforms and thus complicates analysis of the signal characteristics. The article presents results of estimating the geoacoustic signal background noise. On the basis of these estimates, a method of adaptive wavelet thresholding is proposed to remove noise from the signal and recovery the single pulse waveforms. In conclusion, the results of a computational experiment are presented. They confirm effectiveness of using the chosen method for the geoacoustic signal preprocessing. The work was carried out as part of the implementation of the state task AAAA-A21-121011290003-0.Lukovenkova OlgaEDP SciencesarticlePhysicsQC1-999ENEPJ Web of Conferences, Vol 254, p 02004 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Physics QC1-999
spellingShingle	Physics QC1-999 Lukovenkova Olga Application of adaptive wavelet thresholding to recovery geoacoustic signal pulse waveforms
description	Recorded geoacoustic signals often contain noise and interference. Their appearance is caused by various reasons, e.g. of propagation environment heterogeneity, weather condition influence, human activity, etc. So, geoacoustic emission signals contain a persistent background noise that changes in intensity over time. This noise significantly distorts the geoacoustic pulse waveforms and thus complicates analysis of the signal characteristics. The article presents results of estimating the geoacoustic signal background noise. On the basis of these estimates, a method of adaptive wavelet thresholding is proposed to remove noise from the signal and recovery the single pulse waveforms. In conclusion, the results of a computational experiment are presented. They confirm effectiveness of using the chosen method for the geoacoustic signal preprocessing. The work was carried out as part of the implementation of the state task AAAA-A21-121011290003-0.
format	article
author	Lukovenkova Olga
author_facet	Lukovenkova Olga
author_sort	Lukovenkova Olga
title	Application of adaptive wavelet thresholding to recovery geoacoustic signal pulse waveforms
title_short	Application of adaptive wavelet thresholding to recovery geoacoustic signal pulse waveforms
title_full	Application of adaptive wavelet thresholding to recovery geoacoustic signal pulse waveforms
title_fullStr	Application of adaptive wavelet thresholding to recovery geoacoustic signal pulse waveforms
title_full_unstemmed	Application of adaptive wavelet thresholding to recovery geoacoustic signal pulse waveforms
title_sort	application of adaptive wavelet thresholding to recovery geoacoustic signal pulse waveforms
publisher	EDP Sciences
publishDate	2021
url	https://doaj.org/article/1d5e44ff0b0743968cafa4946db0b32a
work_keys_str_mv	AT lukovenkovaolga applicationofadaptivewaveletthresholdingtorecoverygeoacousticsignalpulsewaveforms
_version_	1718430541734215680

Application of adaptive wavelet thresholding to recovery geoacoustic signal pulse waveforms

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