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Registro Completo |
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Biblioteca(s): |
Embrapa Pantanal. |
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Data corrente: |
08/01/2018 |
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Data da última atualização: |
09/02/2018 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
BULHOES, J. S.; ASSIS, A. O.; MARTINS, C. L.; FURRIEL, G. P.; SILVA, B. C. R.; RODRIGUES, L.; REIS, M. R. C.; CALHEIROS, D. F.; OLIVEIRA, M. D. de; CALIXTO, W. P. |
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Afiliação: |
JÚNIO S. BULHÕES, FEDERAL INSTITUTE OF MATO GROSSO; ALFREDO O. ASSIS, FEDERAL UNIVERSITY OF GOIAS; CRISTIANE L. MARTINS, FEDERAL UNIVERSITY OF GOIAS; GEOVANNE P. FURRIEL, FEDERAL UNIVERSITY OF GOIAS; BRUNNA C. R. SILVA, FEDERAL UNIVERSITY OF GOIAS; LUANN RODRIGUES, FEDERAL UNIVERSITY OF GOIAS; MÁRCIO R. C. REIS, FEDERAL UNIVERSITY OF GOIAS; DEBORA FERNANDES CALHEIROS, DGP; MARCIA DIVINA DE OLIVEIRA, CPAP; WESLEY P. CALIXTO, FEDERAL UNIVERSITY OF GOIAS. |
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Título: |
Gap filling in time series: A new methodology applying spectral analysis and system identification. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
In: CONFERENCE ON ELECTRICAL, ELECTRONICS ENGINEERING, INFORMATION AND COMMUNICATION TECHNOLOGIES. 2017, Pucon, Chile. [Proceedings...]. Pucon, Chile: IEE Xplore, 2017. |
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Páginas: |
Não paginado. |
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Idioma: |
Inglês |
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Notas: |
(CHILECON). |
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Conteúdo: |
The presence of gaps in time series makes the data analysis process difficult. Although there are several methods for filling such gaps, they do not present satisfactory results as the gap widens. The proposal of this paper is to present a new methodology that uses techniques of extraction of characteristics and identification of systems to fill the missing data. The proposed methodology was applied in time series of physical and chemical variables related to the water quality and behavior of the Paraguay River, and the effectiveness of the internal data forecast was proven. |
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Thesagro: |
Método de Análise. |
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Thesaurus Nal: |
Spectral Analysis. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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Marc: |
LEADER 01486nam a2200265 a 4500
001 2084473
005 2018-02-09
008 2017 bl uuuu u00u1 u #d
100 1 $aBULHOES, J. S.
245 $aGap filling in time series$bA new methodology applying spectral analysis and system identification.$h[electronic resource]
260 $aIn: CONFERENCE ON ELECTRICAL, ELECTRONICS ENGINEERING, INFORMATION AND COMMUNICATION TECHNOLOGIES. 2017, Pucon, Chile. [Proceedings...]. Pucon, Chile: IEE Xplore$c2017
300 $aNão paginado.
500 $a(CHILECON).
520 $aThe presence of gaps in time series makes the data analysis process difficult. Although there are several methods for filling such gaps, they do not present satisfactory results as the gap widens. The proposal of this paper is to present a new methodology that uses techniques of extraction of characteristics and identification of systems to fill the missing data. The proposed methodology was applied in time series of physical and chemical variables related to the water quality and behavior of the Paraguay River, and the effectiveness of the internal data forecast was proven.
650 $aSpectral Analysis
650 $aMétodo de Análise
700 1 $aASSIS, A. O.
700 1 $aMARTINS, C. L.
700 1 $aFURRIEL, G. P.
700 1 $aSILVA, B. C. R.
700 1 $aRODRIGUES, L.
700 1 $aREIS, M. R. C.
700 1 $aCALHEIROS, D. F.
700 1 $aOLIVEIRA, M. D. de
700 1 $aCALIXTO, W. P.
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Registro original: |
Embrapa Pantanal (CPAP) |
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