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Sparsity-promoting approach to polarization analysis of seismic signals in the time-frequency domain

2022-01-07Journal article Restricted access
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dc.contributor.authorMohammadigheymasi, Hamzeh
dc.contributor.authorCrocker, Paul
dc.contributor.authorFathi, Maryam
dc.contributor.authorAlmeida, Eduardo
dc.contributor.authorSilveira, Graça
dc.contributor.authorGholami, Ali
dc.contributor.authorSchimmel, Martin
dc.date.accessioned2022-06-27T13:56:09Z
dc.date.available2022-06-27T13:56:09Z
dc.date.issued2022-01-07
dc.description.abstractTime - 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.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationMOHAMMADIGEHEYMASI, 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.pt_PT
dc.identifier.doi10.1109/TGRS.2022.3141580pt_PT
dc.identifier.eissn1558-0644
dc.identifier.issn0196-2892
dc.identifier.urihttp://hdl.handle.net/10400.21/14743
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIEEEpt_PT
dc.relationPTDC/CTA/GEO/31475/2017 - FCT/European Commissionpt_PT
dc.relationPOCI-01-0145-FEDER-031475 - FCT/European Commissionpt_PT
dc.relationInstituto de Telecomunicações
dc.relationInstituto Dom Luiz
dc.relation.publisherversionhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9674880pt_PT
dc.subjectAdaptive filteringpt_PT
dc.subjectEigenvalue decompositionpt_PT
dc.subjectPolarization analysis and filteringpt_PT
dc.subjectRayleigh and Love waves' eliminationpt_PT
dc.subjectSparsity-promoting time-frequency representation (SP-TFR)pt_PT
dc.titleSparsity-promoting approach to polarization analysis of seismic signals in the time-frequency domainpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleInstituto de Telecomunicações
oaire.awardTitleInstituto Dom Luiz
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50008%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50019%2F2020/PT
oaire.citation.endPage11pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleIEEE Transactions on Geoscience and Remote Sensingpt_PT
oaire.citation.volume60pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameMohammadigheymasi
person.familyNameCrocker
person.familyNameRodrigues de Almeida
person.familyNameSilveira
person.familyNameSchimmel
person.givenNameHamzeh
person.givenNamePaul
person.givenNameEduardo
person.givenNameGraça
person.givenNameMartin
person.identifierN-6326-2013
person.identifier91922
person.identifier870885
person.identifier.ciencia-idDF17-4E30-C1E2
person.identifier.ciencia-id741A-84FD-CF7C
person.identifier.ciencia-id6A14-84BF-1110
person.identifier.ciencia-id1116-1080-16F3
person.identifier.ciencia-id3214-52D1-5021
person.identifier.orcid0000-0002-1136-2651
person.identifier.orcid0000-0001-6824-6136
person.identifier.orcid0000-0002-2255-7366
person.identifier.orcid0000-0002-2110-2554
person.identifier.orcid0000-0003-2601-4462
person.identifier.ridA-3081-2009
person.identifier.ridC-2261-2008
person.identifier.scopus-author-idhamzeh@ubi.pt
person.identifier.scopus-author-id23476595500
person.identifier.scopus-author-id6602698071
person.identifier.scopus-author-id7005628038
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
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