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dc.contributor.CRUESPUNIVERSIDADE ESTADUAL DE CAMPINASpt_BR
dc.contributor.authorunicampAldaya Garde, Ivan Aritzpt_BR
dc.typeArtigopt_BR
dc.titlePerformance Improvement Of Cascaded Dispersion Compensation Based Fiber Bragg Gratings By Smart Selectionen
dc.titlePerformance improvement of cascaded dispersion compensation based fiber Bragg gratings by smart selectionpt_BR
dc.contributor.authorGiacoumidis, Eliaspt_BR
dc.contributor.authorPerentos, Andreaspt_BR
dc.contributor.authorAldaya, Ivanpt_BR
dc.subjectFiber Bragg Gratingsen
dc.subjectMonte Carlo Algorithmen
dc.subjectGroup Delay Rippleen
dc.subjectFibras de grade Bragg, Método de Monte Carlopt_BR
dc.subject.otherlanguageFiber Bragg gratings, Monte Carlo methodpt_BR
dc.description.abstractA Monte-Carlo (MC)-based heuristic algorithm is applied, for the first time, in cascaded chromatic dispersion compensation based fiber Bragg gratings (FBGs) for performance improvement by means of group delay ripple mitigation. It is shown that the MC method outperforms random FBG selection by 37.5% and 35% for 10 and 15 cascaded FBGs, respectively. (c) 2016 Wiley Periodicals, Inc. Microwave Opt Technol Lett 58:2954-2957, 2016en
dc.description.abstractA Monte-Carlo (MC)-based heuristic algorithm is applied, for the first time, in cascaded chromatic dispersion compensation based fiber Bragg gratings (FBGs) for performance improvement by means of group delay ripple mitigation. It is shown that the MC method outperforms random FBG selection by 37.5% and 35% for 10 and 15 cascaded FBGs, respectively.pt_BR
dc.relation.ispartofMicrowave and optical technology letterspt_BR
dc.relation.ispartofabbreviationMicrowave opt. technol. lett.pt_BR
dc.publisher.cityHoboken, NJpt_BR
dc.publisher.countryEstados Unidospt_BR
dc.publisherJohn Wiley & Sonspt_BR
dc.date.issued2016pt_BR
dc.date.monthofcirculationDec.pt_BR
dc.identifier.citationMicrowave And Optical Technology Letters. Wiley-blackwell, v. 58, p. 2954 - 2957, 2016.pt_BR
dc.language.isoengpt_BR
dc.description.volume58pt_BR
dc.description.issuenumber12pt_BR
dc.description.firstpage2954pt_BR
dc.description.lastpage2957pt_BR
dc.rightsfechadopt_BR
dc.sourceWOSpt_BR
dc.identifier.issn0895-2477pt_BR
dc.identifier.eissn1098-2760pt_BR
dc.identifier.doi10.1002/mop.30196pt_BR
dc.identifier.urlhttps://onlinelibrary.wiley.com/doi/abs/10.1002/mop.30196pt_BR
dc.description.sponsorshipFAPESP - FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULOpt_BR
dc.description.sponsorship1FAPESP - FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULOpt_BR
dc.description.sponsordocumentnumber2015/04113‐0pt_BR
dc.date.available2017-11-13T13:57:57Z-
dc.date.accessioned2017-11-13T13:57:57Z-
dc.description.provenanceMade available in DSpace on 2017-11-13T13:57:57Z (GMT). No. of bitstreams: 1 000386665500042.pdf: 520310 bytes, checksum: b8a89b9ab66ae7f417e8ff9968b8f7bd (MD5) Previous issue date: 2016 Bitstreams deleted on 2020-09-02T13:43:15Z: 000386665500042.pdf,. Added 1 bitstream(s) on 2020-09-02T13:47:43Z : No. of bitstreams: 1 000386665500042.pdf: 605797 bytes, checksum: 8f356be61d6a0f8d233cfbf0aa928d75 (MD5)en
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/330156-
dc.contributor.departmentDepartamento de Eletrônica Quânticapt_BR
dc.contributor.unidadeInstituto de Física Gleb Wataghinpt_BR
dc.subject.keywordMonte Carlo algorithm, Group Delay Ripplept_BR
dc.identifier.source000386665500042pt_BR
dc.creator.orcid0000-0002-7969-3051pt_BR
dc.type.formArtigopt_BR
dc.description.sponsorNoteCentre of Excellence (CUDOS, CE110001018), FAPESP (2015/04113‐0).pt_BR
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