Sparsity-promoting approach to polarization analysis of seismic signals in the time-frequency domain
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.21/14743 |
Resumo: | Time - frequency (TF)-domain polarization analysis (PA) methods are widely used as a processing tool to decompose multicomponent seismic signals. However, as a drawback, they are unable to obtain sufficient resolution to discriminate between overlapping seismic phases, as they generally rely on a low-resolution time-frequency representation (TFR) method. In this article, we present a new approach to the TF-domain PA methods. More precisely, we provide an in-detailed discussion on rearranging the eigenvalue decomposition polarization analysis (EDPA) formalism in the frequency domain to obtain the frequency-dependent polarization properties from the Fourier coefficients owing to the Fourier space orthogonality. Then, by extending the formulation to the TF domain and incorporating sparsity promoting TFR (SP-TFR), we improve the resolution when estimating the TF-domain polarization parameters. Finally, an adaptive SP-TFF is applied to extract and filter different phases of the seismic wave. By processing earthquake wave-forms, we show that, by combining amplitude, directivity, and rectilinearity attributes on the sparse TF-domain polarization map of the signal, we are able to extract (or filter) different phases of seismic waves. The SP-TFF method is evaluated on synthetic and real data associated with the source mechanism of the M-w = 8.2 earthquake that occurred in the south-southwest of Tres Picos, Mexico. A discussion on the results is given, verifying the efficiency of the method in separating not only the Rayleigh waves from the Love waves hut also in discriminating them from the body and coda waves. The codes and datasets are available at https://github.com/SigProSeismology/SP-TFF, contributing to the geoscience community. |
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Sparsity-promoting approach to polarization analysis of seismic signals in the time-frequency domainAdaptive filteringEigenvalue decompositionPolarization analysis and filteringRayleigh and Love waves' eliminationSparsity-promoting time-frequency representation (SP-TFR)Time - frequency (TF)-domain polarization analysis (PA) methods are widely used as a processing tool to decompose multicomponent seismic signals. However, as a drawback, they are unable to obtain sufficient resolution to discriminate between overlapping seismic phases, as they generally rely on a low-resolution time-frequency representation (TFR) method. In this article, we present a new approach to the TF-domain PA methods. More precisely, we provide an in-detailed discussion on rearranging the eigenvalue decomposition polarization analysis (EDPA) formalism in the frequency domain to obtain the frequency-dependent polarization properties from the Fourier coefficients owing to the Fourier space orthogonality. Then, by extending the formulation to the TF domain and incorporating sparsity promoting TFR (SP-TFR), we improve the resolution when estimating the TF-domain polarization parameters. Finally, an adaptive SP-TFF is applied to extract and filter different phases of the seismic wave. By processing earthquake wave-forms, we show that, by combining amplitude, directivity, and rectilinearity attributes on the sparse TF-domain polarization map of the signal, we are able to extract (or filter) different phases of seismic waves. The SP-TFF method is evaluated on synthetic and real data associated with the source mechanism of the M-w = 8.2 earthquake that occurred in the south-southwest of Tres Picos, Mexico. A discussion on the results is given, verifying the efficiency of the method in separating not only the Rayleigh waves from the Love waves hut also in discriminating them from the body and coda waves. The codes and datasets are available at https://github.com/SigProSeismology/SP-TFF, contributing to the geoscience community.IEEERCIPLMohammadigheymasi, HamzehCrocker, PaulFathi, MaryamAlmeida, EduardoSilveira, GraçaGholami, AliSchimmel, Martin2022-06-27T13:56:09Z2022-01-072022-01-07T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.21/14743engMOHAMMADIGEHEYMASI, Hamzeh; [et al] – Sparsity-promoting approach to polarization analysis of seismic signals in the time-frequency domain. IEEE Transactions on Geoscience and Remote Sensing. ISSN 0196-2892. Vol. 60 (2022), pp. 1-11.0196-289210.1109/TGRS.2022.31415801558-0644metadata only accessinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-08-03T10:11:20Zoai:repositorio.ipl.pt:10400.21/14743Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:22:29.722865Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Sparsity-promoting approach to polarization analysis of seismic signals in the time-frequency domain |
title |
Sparsity-promoting approach to polarization analysis of seismic signals in the time-frequency domain |
spellingShingle |
Sparsity-promoting approach to polarization analysis of seismic signals in the time-frequency domain Mohammadigheymasi, Hamzeh Adaptive filtering Eigenvalue decomposition Polarization analysis and filtering Rayleigh and Love waves' elimination Sparsity-promoting time-frequency representation (SP-TFR) |
title_short |
Sparsity-promoting approach to polarization analysis of seismic signals in the time-frequency domain |
title_full |
Sparsity-promoting approach to polarization analysis of seismic signals in the time-frequency domain |
title_fullStr |
Sparsity-promoting approach to polarization analysis of seismic signals in the time-frequency domain |
title_full_unstemmed |
Sparsity-promoting approach to polarization analysis of seismic signals in the time-frequency domain |
title_sort |
Sparsity-promoting approach to polarization analysis of seismic signals in the time-frequency domain |
author |
Mohammadigheymasi, Hamzeh |
author_facet |
Mohammadigheymasi, Hamzeh Crocker, Paul Fathi, Maryam Almeida, Eduardo Silveira, Graça Gholami, Ali Schimmel, Martin |
author_role |
author |
author2 |
Crocker, Paul Fathi, Maryam Almeida, Eduardo Silveira, Graça Gholami, Ali Schimmel, Martin |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
RCIPL |
dc.contributor.author.fl_str_mv |
Mohammadigheymasi, Hamzeh Crocker, Paul Fathi, Maryam Almeida, Eduardo Silveira, Graça Gholami, Ali Schimmel, Martin |
dc.subject.por.fl_str_mv |
Adaptive filtering Eigenvalue decomposition Polarization analysis and filtering Rayleigh and Love waves' elimination Sparsity-promoting time-frequency representation (SP-TFR) |
topic |
Adaptive filtering Eigenvalue decomposition Polarization analysis and filtering Rayleigh and Love waves' elimination Sparsity-promoting time-frequency representation (SP-TFR) |
description |
Time - frequency (TF)-domain polarization analysis (PA) methods are widely used as a processing tool to decompose multicomponent seismic signals. However, as a drawback, they are unable to obtain sufficient resolution to discriminate between overlapping seismic phases, as they generally rely on a low-resolution time-frequency representation (TFR) method. In this article, we present a new approach to the TF-domain PA methods. More precisely, we provide an in-detailed discussion on rearranging the eigenvalue decomposition polarization analysis (EDPA) formalism in the frequency domain to obtain the frequency-dependent polarization properties from the Fourier coefficients owing to the Fourier space orthogonality. Then, by extending the formulation to the TF domain and incorporating sparsity promoting TFR (SP-TFR), we improve the resolution when estimating the TF-domain polarization parameters. Finally, an adaptive SP-TFF is applied to extract and filter different phases of the seismic wave. By processing earthquake wave-forms, we show that, by combining amplitude, directivity, and rectilinearity attributes on the sparse TF-domain polarization map of the signal, we are able to extract (or filter) different phases of seismic waves. The SP-TFF method is evaluated on synthetic and real data associated with the source mechanism of the M-w = 8.2 earthquake that occurred in the south-southwest of Tres Picos, Mexico. A discussion on the results is given, verifying the efficiency of the method in separating not only the Rayleigh waves from the Love waves hut also in discriminating them from the body and coda waves. The codes and datasets are available at https://github.com/SigProSeismology/SP-TFF, contributing to the geoscience community. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-06-27T13:56:09Z 2022-01-07 2022-01-07T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.21/14743 |
url |
http://hdl.handle.net/10400.21/14743 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
MOHAMMADIGEHEYMASI, Hamzeh; [et al] – Sparsity-promoting approach to polarization analysis of seismic signals in the time-frequency domain. IEEE Transactions on Geoscience and Remote Sensing. ISSN 0196-2892. Vol. 60 (2022), pp. 1-11. 0196-2892 10.1109/TGRS.2022.3141580 1558-0644 |
dc.rights.driver.fl_str_mv |
metadata only access info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
metadata only access |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
IEEE |
publisher.none.fl_str_mv |
IEEE |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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