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dc.rights.licenseopenen_US
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorGRIVEL, Eric
IDREF: 151378606
hal.structure.identifierTHALES Avionics Electrical Systems [TAES]
hal.structure.identifierTHALES [France]
hal.structure.identifierMéthodes avancées d’apprentissage statistique et de contrôle [ASTRAL]
dc.contributor.authorBERTHELOT, Bastien
dc.contributor.authorCOLIN, Gaetan
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierInria Bordeaux - Sud-Ouest
hal.structure.identifierMéthodes avancées d’apprentissage statistique et de contrôle [ASTRAL]
dc.contributor.authorLEGRAND, Pierrick
IDREF: 094614032
dc.contributor.authorIBANEZ, Vincent
dc.date.accessioned2024-05-07T08:05:36Z
dc.date.available2024-05-07T08:05:36Z
dc.date.issued2024-04-14
dc.identifier.issn1099-4300en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/199689
dc.description.abstractIn various applications, multiscale entropy (MSE) is often used as a feature to characterize the complexity of the signals in order to classify them. It consists of estimating the sample entropies (SEs) of the signal under study and its coarse-grained (CG) versions, where the CG process amounts to (1) filtering the signal with an average filter whose order is the scale and (2) decimating the filter output by a factor equal to the scale. In this paper, we propose to derive a new variant of the MSE. Its novelty stands in the way to get the sequences at different scales by avoiding distortions during the decimation step. To this end, a linear-phase or null-phase low-pass filter whose cutoff frequency is well suited to the scale is used. Interpretations on how the MSE behaves and illustrations with a sum of sinusoids, as well as white and pink noises, are given. Then, an application to detect attentional tunneling is presented. It shows the benefit of the new approach in terms of p value when one aims at differentiating the set of MSEs obtained in the attentional tunneling state from the set of MSEs obtained in the nominal state. It should be noted that CG versions can be replaced not only for the MSE but also for other variants.
dc.language.isoENen_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subjectMSE
dc.subjectLinear-phase filter
dc.subjectCoarse-grained
dc.subjectEntropy rate
dc.title.enBenefits of Zero-Phase or Linear Phase Filters to Design Multiscale Entropy: Theory and Application
dc.typeArticle de revueen_US
dc.identifier.doi10.3390/e26040332en_US
dc.subject.halSciences de l'ingénieur [physics]en_US
bordeaux.journalEntropyen_US
bordeaux.page1-27en_US
bordeaux.volume26(4)en_US
bordeaux.issue332en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INPen_US
bordeaux.institutionCNRSen_US
bordeaux.teamSIGNAL AND IMAGE PROCESSING-SPECTRALen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.identifierhal-04570432
hal.version1
hal.date.transferred2024-05-07T08:05:40Z
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exporttrue
dc.rights.ccCC BYen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Entropy&rft.date=2024-04-14&rft.volume=26(4)&rft.issue=332&rft.spage=1-27&rft.epage=1-27&rft.eissn=1099-4300&rft.issn=1099-4300&rft.au=GRIVEL,%20Eric&BERTHELOT,%20Bastien&COLIN,%20Gaetan&LEGRAND,%20Pierrick&IBANEZ,%20Vincent&rft.genre=article


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