Výsledky vyhledávání - "Silva, Eduardo Antônio Barros da"

Técnica de estimação de harmônicos para implementação em DSP de baixo custo

Autor: Marques, Cristiano Augusto Gomes, Ribeiro, Moisés Vidal, Gomes, Pedro Henrique de Castro, Silva, Eduardo Antônio Barros da

Publikováno v: Sba: Controle & Automação Sociedade Brasileira de Automatica, Volume: 20, Issue: 4, Pages: 589-608, Published: DEC 2009

Este trabalho aborda uma nova técnica para a estimação de harmônicos (amplitude e fase) com reduzida complexidade computacional para implementação em DSP. A técnica utiliza demodulação do sinal seguida de filtragem. Como resultado, estimaç�

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http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-17592009000400011&lng=en&tlng=en

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Akademický článek

Design of Seasonal Adjustment Filter Robust to Variations in the Seasonal Behaviour of Time Series.

Autor: Martelotte, Marcela Cohen, Souza, Reinaldo Castro, Silva, Eduardo Antônio Barros Da

Publikováno v: Journal of Official Statistics (JOS); Mar2017, Vol. 33 Issue 1, p155-186, 32p

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Dissertation/ Thesis

Wavelet transforms for image coding

Autor: Silva, Eduardo Antonio Barros da

Externí odkaz: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.282495

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Controle consciente da saúde e prognóstico baseado em modelo de um sistema de separação submarina de óleo e gás

Autor: Bernardino, Lucas Ferreira

Publikováno v: Repositório Institucional da UFRJ
Universidade Federal do Rio de Janeiro (UFRJ)
instacron:UFRJ

Submitted by Natasha Valladão (natashasilvaa4@gmail.com) on 2021-01-29T14:42:53Z No. of bitstreams: 1 LucasFerreiraBernardino-min.pdf: 6666505 bytes, checksum: e7769d1ac5c3a10538630eb7ab6499c2 (MD5) Made available in DSpace on 2021-01-29T14:42:53Z (

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Deep learning for single image super-resolution using residual image learning and multiple degradations

Autor: Medeiros, Antônio Luís Sombra de

Publikováno v: Repositório Institucional do FGV (FGV Repositório Digital)
Fundação Getulio Vargas (FGV)
instacron:FGV

Os últimos anos têm testemunhado o sucesso sem precedentes das redes neurais de convolucionais profundas (CNNs) e das Redes Generativas Adversárias (GANs) aplicadas em tarefas de super-resolução de imagem única (SISR). No entanto, os métodos d

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The use of sparse plus low-rank decomposition on moving object and change detection in videos

Autor: Thomaz, Lucas Arrabal

Publikováno v: Repositório Institucional da UFRJ
Universidade Federal do Rio de Janeiro (UFRJ)
instacron:UFRJ

Submitted by Aglair Aguiar (aglair@ct.ufrj.br) on 2019-09-05T15:59:35Z No. of bitstreams: 1 882133.pdf: 1392669 bytes, checksum: 91b82ee3dc939f2c31425d4732e1ce2e (MD5) Made available in DSpace on 2019-09-05T15:59:35Z (GMT). No. of bitstreams: 1 88213

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Machine learning tecniques applied to hydrate failure detection on production lines

Autor: Marins, Matheus Araújo

Publikováno v: Repositório Institucional da UFRJ
Universidade Federal do Rio de Janeiro (UFRJ)
instacron:UFRJ

Submitted by Aglair Aguiar (aglair@ct.ufrj.br) on 2020-03-31T02:00:58Z No. of bitstreams: 1 888704.pdf: 624026 bytes, checksum: f2cd2924a2940b7e4d6b2d9321ccf847 (MD5) Made available in DSpace on 2020-03-31T02:00:58Z (GMT). No. of bitstreams: 1 888704

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Anomaly detection in moving-camera videos with sparse and low-rank matrix decompositions

Autor: Silva, Eric de Carvalho Jardim

Publikováno v: Repositório Institucional da UFRJ
Universidade Federal do Rio de Janeiro (UFRJ)
instacron:UFRJ

Submitted by Aglair Aguiar (aglair@ct.ufrj.br) on 2020-03-31T01:34:27Z No. of bitstreams: 1 888355.pdf: 1185846 bytes, checksum: 94afd664dd671291b9ecc57ff860874e (MD5) Made available in DSpace on 2020-03-31T01:34:27Z (GMT). No. of bitstreams: 1 88835

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Autor: Ribeiro, Felipe Moreira Lopes

Publikováno v: Repositório Institucional da UFRJ
Universidade Federal do Rio de Janeiro (UFRJ)
instacron:UFRJ

Submitted by Aglair Aguiar (aglair@ct.ufrj.br) on 2020-03-31T02:44:28Z No. of bitstreams: 1 888705.pdf: 1047736 bytes, checksum: 1976443b0dddbace36b85ccf7689e9e6 (MD5) Made available in DSpace on 2020-03-31T02:44:28Z (GMT). No. of bitstreams: 1 88870

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Uso de técnicas de aprendizado de máquina para previsão de falhas em turbogeradores

Autor: Carvalho, Gustavo Luís Almeida de

Publikováno v: Repositório Institucional da UFRJ
Universidade Federal do Rio de Janeiro (UFRJ)
instacron:UFRJ

Submitted by Aglair Aguiar (aglair@ct.ufrj.br) on 2019-09-12T18:04:11Z No. of bitstreams: 1 882220.pdf: 1323208 bytes, checksum: c212312f8596275358fe4f3aac82a20f (MD5) Made available in DSpace on 2019-09-12T18:04:11Z (GMT). No. of bitstreams: 1 88222

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