Comparison between a statistical and a principal component analysis in reduction of near field FDTD data

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dc.creatorGlaucio Ramos
dc.creatorFranz Müller Eduardo Camilo
dc.creatorCassio Goncalves do Rego
dc.creatorGustavo Rodrigues
dc.date.accessioned2025-05-22T13:58:30Z
dc.date.accessioned2025-09-09T00:08:20Z
dc.date.available2025-05-22T13:58:30Z
dc.date.issued2019
dc.identifier.doihttps://doi.org/10.1049/iet-map.2018.5611
dc.identifier.issn1751-8725
dc.identifier.urihttps://hdl.handle.net/1843/82452
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofIET Microwaves, antennas and propagation
dc.rightsAcesso Restrito
dc.subjectMétodo dos momentos (Estatística)
dc.titleComparison between a statistical and a principal component analysis in reduction of near field FDTD data
dc.typeArtigo de periódico
local.citation.epage2318
local.citation.spage2315
local.citation.volume13
local.description.resumoWe present a comparison of statistical and principal component analyses (PCA) for reducing the amount of near-field data requiredas an input to a time-domain spherical-multipole near-to-far-field transformation. Such transformations are necessary for finite-difference time-domain simulations that typically only model the near-field. We demonstrate our approach for the case of far-fieldsscattered by a dielectric sphere. For a threshold value of106, the PCA technique reduced the data required by 32%, using twelvecomponents. A similar compression was achieved with statistical analysis, when the threshold is set at10−7σ. Our work showsthat the proposed statistical compression is preferable because it has simpler implementation and low cost processing, whenimplemented together with the NFF transformation code.
local.publisher.countryBrasil
local.publisher.departmentENG - DEPARTAMENTO DE ENGENHARIA ELETRÔNICA
local.publisher.initialsUFMG
local.url.externahttps://digital-library.theiet.org/doi/10.1049/iet-map.2018.5611

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