Influence of wavelet transform settings on NIR and MIR spectrometric analyses of diesel, gasoline, corn and wheat
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Journal of the Brazilian Chemical Society (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532011000100025 |
Resumo: | This paper investigates the influence of wavelet family, length and number of resolution levels on the performance of multivariate calibration models obtained in the wavelet domain. Twenty-one physical and chemical properties of diesel, gasoline, corn and wheat were determined by near/mid infrared spectrometry employing partial least-squares (PLS) and stepwise regression (SR) in the original and wavelet domains. Through proper selection of the wavelet transform settings, average RMSEP reductions of 8.2% (PLS) and 27.0% (SR) were obtained with respect to the original domain. However, the SR models presented considerable sensitivity with respect to the choice of transform settings. In this case, an analysis of variance indicated that the number of resolution levels is the most important factor to be considered. |
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Influence of wavelet transform settings on NIR and MIR spectrometric analyses of diesel, gasoline, corn and wheatmultivariate calibrationwavelet transformanalysis of variancemid and near infrared spectrometryfood and fuel analysisThis paper investigates the influence of wavelet family, length and number of resolution levels on the performance of multivariate calibration models obtained in the wavelet domain. Twenty-one physical and chemical properties of diesel, gasoline, corn and wheat were determined by near/mid infrared spectrometry employing partial least-squares (PLS) and stepwise regression (SR) in the original and wavelet domains. Through proper selection of the wavelet transform settings, average RMSEP reductions of 8.2% (PLS) and 27.0% (SR) were obtained with respect to the original domain. However, the SR models presented considerable sensitivity with respect to the choice of transform settings. In this case, an analysis of variance indicated that the number of resolution levels is the most important factor to be considered.Sociedade Brasileira de Química2011-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532011000100025Journal of the Brazilian Chemical Society v.22 n.1 2011reponame:Journal of the Brazilian Chemical Society (Online)instname:Sociedade Brasileira de Química (SBQ)instacron:SBQ10.1590/S0103-50532011000100025info:eu-repo/semantics/openAccessPinto,Luiz AlbertoGalvão,Roberto K. H.Araújo,Mário César U.eng2011-02-10T00:00:00Zoai:scielo:S0103-50532011000100025Revistahttp://jbcs.sbq.org.brONGhttps://old.scielo.br/oai/scielo-oai.php||office@jbcs.sbq.org.br1678-47900103-5053opendoar:2011-02-10T00:00Journal of the Brazilian Chemical Society (Online) - Sociedade Brasileira de Química (SBQ)false |
dc.title.none.fl_str_mv |
Influence of wavelet transform settings on NIR and MIR spectrometric analyses of diesel, gasoline, corn and wheat |
title |
Influence of wavelet transform settings on NIR and MIR spectrometric analyses of diesel, gasoline, corn and wheat |
spellingShingle |
Influence of wavelet transform settings on NIR and MIR spectrometric analyses of diesel, gasoline, corn and wheat Pinto,Luiz Alberto multivariate calibration wavelet transform analysis of variance mid and near infrared spectrometry food and fuel analysis |
title_short |
Influence of wavelet transform settings on NIR and MIR spectrometric analyses of diesel, gasoline, corn and wheat |
title_full |
Influence of wavelet transform settings on NIR and MIR spectrometric analyses of diesel, gasoline, corn and wheat |
title_fullStr |
Influence of wavelet transform settings on NIR and MIR spectrometric analyses of diesel, gasoline, corn and wheat |
title_full_unstemmed |
Influence of wavelet transform settings on NIR and MIR spectrometric analyses of diesel, gasoline, corn and wheat |
title_sort |
Influence of wavelet transform settings on NIR and MIR spectrometric analyses of diesel, gasoline, corn and wheat |
author |
Pinto,Luiz Alberto |
author_facet |
Pinto,Luiz Alberto Galvão,Roberto K. H. Araújo,Mário César U. |
author_role |
author |
author2 |
Galvão,Roberto K. H. Araújo,Mário César U. |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Pinto,Luiz Alberto Galvão,Roberto K. H. Araújo,Mário César U. |
dc.subject.por.fl_str_mv |
multivariate calibration wavelet transform analysis of variance mid and near infrared spectrometry food and fuel analysis |
topic |
multivariate calibration wavelet transform analysis of variance mid and near infrared spectrometry food and fuel analysis |
description |
This paper investigates the influence of wavelet family, length and number of resolution levels on the performance of multivariate calibration models obtained in the wavelet domain. Twenty-one physical and chemical properties of diesel, gasoline, corn and wheat were determined by near/mid infrared spectrometry employing partial least-squares (PLS) and stepwise regression (SR) in the original and wavelet domains. Through proper selection of the wavelet transform settings, average RMSEP reductions of 8.2% (PLS) and 27.0% (SR) were obtained with respect to the original domain. However, the SR models presented considerable sensitivity with respect to the choice of transform settings. In this case, an analysis of variance indicated that the number of resolution levels is the most important factor to be considered. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532011000100025 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532011000100025 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S0103-50532011000100025 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Química |
publisher.none.fl_str_mv |
Sociedade Brasileira de Química |
dc.source.none.fl_str_mv |
Journal of the Brazilian Chemical Society v.22 n.1 2011 reponame:Journal of the Brazilian Chemical Society (Online) instname:Sociedade Brasileira de Química (SBQ) instacron:SBQ |
instname_str |
Sociedade Brasileira de Química (SBQ) |
instacron_str |
SBQ |
institution |
SBQ |
reponame_str |
Journal of the Brazilian Chemical Society (Online) |
collection |
Journal of the Brazilian Chemical Society (Online) |
repository.name.fl_str_mv |
Journal of the Brazilian Chemical Society (Online) - Sociedade Brasileira de Química (SBQ) |
repository.mail.fl_str_mv |
||office@jbcs.sbq.org.br |
_version_ |
1750318171879899136 |