Exploiting sensor redundancy for the calculation of fractional derivatives in the presence of noise

Detalhes bibliográficos
Autor(a) principal: Machado, J. A. Tenreiro
Data de Publicação: 2012
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.22/4101
Resumo: In this paper a new method for the calculation of the fractional expressions in the presence of sensor redundancy and noise, is presented. An algorithm, taking advantage of the signal characteristics and the sensor redundancy, is tuned and optimized through genetic algorithms. The results demonstrate the good performance for different types of expressions and distinct levels of noise.
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spelling Exploiting sensor redundancy for the calculation of fractional derivatives in the presence of noiseFractional calculusNoiseRedundancyIn this paper a new method for the calculation of the fractional expressions in the presence of sensor redundancy and noise, is presented. An algorithm, taking advantage of the signal characteristics and the sensor redundancy, is tuned and optimized through genetic algorithms. The results demonstrate the good performance for different types of expressions and distinct levels of noise.ElsevierRepositório Científico do Instituto Politécnico do PortoMachado, J. A. Tenreiro2014-03-05T16:19:38Z20122012-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/4101eng0165-168410.1016/j.sigpro.2011.07.007metadata only accessinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-13T12:43:59Zoai:recipp.ipp.pt:10400.22/4101Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:25:01.238439Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Exploiting sensor redundancy for the calculation of fractional derivatives in the presence of noise
title Exploiting sensor redundancy for the calculation of fractional derivatives in the presence of noise
spellingShingle Exploiting sensor redundancy for the calculation of fractional derivatives in the presence of noise
Machado, J. A. Tenreiro
Fractional calculus
Noise
Redundancy
title_short Exploiting sensor redundancy for the calculation of fractional derivatives in the presence of noise
title_full Exploiting sensor redundancy for the calculation of fractional derivatives in the presence of noise
title_fullStr Exploiting sensor redundancy for the calculation of fractional derivatives in the presence of noise
title_full_unstemmed Exploiting sensor redundancy for the calculation of fractional derivatives in the presence of noise
title_sort Exploiting sensor redundancy for the calculation of fractional derivatives in the presence of noise
author Machado, J. A. Tenreiro
author_facet Machado, J. A. Tenreiro
author_role author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico do Porto
dc.contributor.author.fl_str_mv Machado, J. A. Tenreiro
dc.subject.por.fl_str_mv Fractional calculus
Noise
Redundancy
topic Fractional calculus
Noise
Redundancy
description In this paper a new method for the calculation of the fractional expressions in the presence of sensor redundancy and noise, is presented. An algorithm, taking advantage of the signal characteristics and the sensor redundancy, is tuned and optimized through genetic algorithms. The results demonstrate the good performance for different types of expressions and distinct levels of noise.
publishDate 2012
dc.date.none.fl_str_mv 2012
2012-01-01T00:00:00Z
2014-03-05T16:19:38Z
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.22/4101
url http://hdl.handle.net/10400.22/4101
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0165-1684
10.1016/j.sigpro.2011.07.007
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rights_invalid_str_mv metadata only access
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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