Introducing the Discrete Path Transform (DPT) and its applications in signal analysis, artefact removal, and spoken word recognition

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dc.contributor.authorGuido, Rodrigo Capobianco [UNESP]
dc.contributor.authorPedroso, Fernando [UNESP]
dc.contributor.authorContreras, Rodrigo Colnago [UNESP]
dc.contributor.authorRodrigues, Luciene Cavalcanti [UNESP]
dc.contributor.authorGuariglia, Emanuel [UNESP]
dc.contributor.authorNeto, Jogi Suda [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionCentro Estadual de Educação Tecnológica Paula Souza (CEETEPS)
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniversity of Bologna
dc.contributor.institutionCiência e Tecnologia de São Paulo
dc.contributor.institutionFaculdade de Tecnologia de São José do Rio Preto
dc.date.accessioned2022-04-29T08:45:35Z
dc.date.available2022-04-29T08:45:35Z
dc.date.issued2021-10-01
dc.description.abstractThis article introduces the Discrete Path Transform (DPT). Designed to serve as a new tool for handcraft feature extraction (FE), it improves the elementary analysis provided by signal energy (E) and enhances the humble spectral investigation granted by zero-crossing rates (ZCRs). C/C++ source-codes to realize both the DPT direct and inverse (IDPT) forms are presented together with a few hypothetical numerical examples and an application involving general signal analysis, artefact removal from biomedical signals, and spoken word recognition (SWR), thus demonstrating how useful and effective the proposed transform is. Brief comparisons with Teager Energy Operator (TEO) and a list of important references were also included.en
dc.description.affiliationInstituto de Biociências Letras e Ciências Exatas Unesp - Univ Estadual Paulista (São Paulo State University), Rua Cristóvão Colombo 2265, Jd Nazareth
dc.description.affiliationCentro Estadual de Educação Tecnológica Paula Souza (CEETEPS)
dc.description.affiliationInstituto de Ciências Matemáticas e de Computação Universidade de São Paulo (ICMC/USP), Av Trabalhador SãoCarlense 400
dc.description.affiliationDepartment of Biological Geological and Environmental Sciences (BIGeA) University of Bologna, Via Zamboni 33
dc.description.affiliationInstituto Federal de Educação Ciência e Tecnologia de São Paulo, Avenida Jerônimo Figueira da Costa, 3014
dc.description.affiliationFaculdade de Tecnologia de São José do Rio Preto, Rua Fernandópolis, 2510
dc.description.affiliationUnespInstituto de Biociências Letras e Ciências Exatas Unesp - Univ Estadual Paulista (São Paulo State University), Rua Cristóvão Colombo 2265, Jd Nazareth
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipIdFAPESP: 2019/04475-0
dc.description.sponsorshipIdCNPq: 306808/2018-8
dc.identifierhttp://dx.doi.org/10.1016/j.dsp.2021.103158
dc.identifier.citationDigital Signal Processing: A Review Journal, v. 117.
dc.identifier.doi10.1016/j.dsp.2021.103158
dc.identifier.issn1051-2004
dc.identifier.scopus2-s2.0-85109965962
dc.identifier.urihttp://hdl.handle.net/11449/231475
dc.language.isoeng
dc.relation.ispartofDigital Signal Processing: A Review Journal
dc.sourceScopus
dc.subjectArtefact removal
dc.subjectFeature extraction (FE)
dc.subjectPattern recognition (PR)
dc.subjectSignal energy (e)
dc.subjectSpoken word recognition (SWR)
dc.subjectZero-crossing rate (ZCR)
dc.titleIntroducing the Discrete Path Transform (DPT) and its applications in signal analysis, artefact removal, and spoken word recognitionen
dc.typeArtigo
unesp.author.orcid0000-0002-0924-8024[1]

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