A principal component-based algorithm for denoising in single channel data(PCA for denoising in single channel data)

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorSá, Antonio Mauricio Ferreira Leite Miranda de-
Autor(es): dc.creatorSeixas, José Manoel de-
Autor(es): dc.creatorCosta Junior, José Dilermando-
Autor(es): dc.creatorFerreira, Danton Diego-
Autor(es): dc.creatorCerqueira, Augusto Santiago-
Data de aceite: dc.date.accessioned2026-02-09T11:19:37Z-
Data de disponibilização: dc.date.available2026-02-09T11:19:37Z-
Data de envio: dc.date.issued2017-09-22-
Data de envio: dc.date.issued2017-09-22-
Data de envio: dc.date.issued2015-01-
Fonte completa do material: dc.identifierhttps://repositorio.ufla.br/handle/handle/1/15428-
Fonte completa do material: dc.identifierhttp://www.sciencedirect.com/science/article/pii/S0263224114004783-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1138514-
Descrição: dc.descriptionA denoising technique for single channel data is proposed. By assuming the observed signal to be the mixture of two unknown uncorrelated sources, an expression for the principal components (PC) of the set constituted by the signal and its k-sample delayed version is derived. The expression does not require matrix manipulations and may be hence useful when both speed and memory usage are crucial. The second PC was found to be a suitable estimate of one of the sources. Illustrations are provided for a simulated voltage signal corrupted by harmonics and transient disturbances as well as for a real electromyographic signal with electrocardiographic interference. A comparison with a standard, wavelet-based method for denoising is also provided.-
Idioma: dc.languageen-
Publicador: dc.publisherElsevier Science-
Direitos: dc.rightsrestrictAccess-
???dc.source???: dc.sourceMeasurement-
Palavras-chave: dc.subjectPrincipal component analysis-
Palavras-chave: dc.subjectSingle channel denoising-
Palavras-chave: dc.subjectPower quality-
Palavras-chave: dc.subjectElectromyography-
Palavras-chave: dc.subjectElectrocardiography-
Título: dc.titleA principal component-based algorithm for denoising in single channel data(PCA for denoising in single channel data)-
Tipo de arquivo: dc.typeArtigo-
Aparece nas coleções:Repositório Institucional da Universidade Federal de Lavras (RIUFLA)

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