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

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dc.creatorSá, Antonio Mauricio Ferreira Leite Miranda de
dc.creatorSeixas, José Manoel de
dc.creatorCosta Junior, José Dilermando
dc.creatorFerreira, Danton Diego
dc.creatorCerqueira, Augusto Santiago
dc.date.accessioned2017-09-22T17:14:21Z
dc.date.available2017-09-22T17:14:21Z
dc.date.issued2015-01
dc.description.abstractA 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.pt_BR
dc.identifier.citationSÁ, A. M. F. L. M. de et al. A principal component-based algorithm for denoising in single channel data(PCA for denoising in single channel data). Measurement, Amsterdam, v. 60, p. 121-128, Jan. 2015.pt_BR
dc.identifier.urihttps://repositorio.ufla.br/handle/handle/1/15428
dc.identifier.urihttp://www.sciencedirect.com/science/article/pii/S0263224114004783pt_BR
dc.languageen_USpt_BR
dc.publisherElsevier Sciencept_BR
dc.rightsopenAccesspt_BR
dc.sourceMeasurementpt_BR
dc.subjectPrincipal component analysispt_BR
dc.subjectSingle channel denoisingpt_BR
dc.subjectPower qualitypt_BR
dc.subjectElectromyographypt_BR
dc.subjectElectrocardiographypt_BR
dc.titleA principal component-based algorithm for denoising in single channel data(PCA for denoising in single channel data)pt_BR
dc.typeArtigopt_BR

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