Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/87586
Type: Artigo de periódico
Title: Multivariate Curve Resolution With Alternating Least Squares: Description, Operation And Application [resolução Multivariada De Curvas Com Mínimos Quadrados Alternantes: Descrição, Funcionamento E Aplicações]
Author: Marco P.H.
Valderrama P.
Alexandrino G.L.
Poppi R.J.
Tauler R.
Abstract: Multivariate Curve Resolution with Alternating Least Squares (MCR-ALS) is a resolution method that has been efficiently applied in many different fields, such as process analysis, environmental data and, more recently, hyperspectral image analysis. When applied to second order data (or to three-way data) arrays, recovery of the underlying basis vectors in both measurement orders (i.e. signal and concentration orders) from the data matrix can be achieved without ambiguities if the trilinear model constraint is considered during the ALS optimization. This work summarizes different protocols of MCR-ALS application, presenting a case study: near-infrared image spectroscopy.
Editor: Sociedade Brasileira de Quimica
Rights: aberto
Identifier DOI: 10.5935/0100-4042.20140205
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-84911080424&partnerID=40&md5=1a40848825b602cd404a68708d25b66f
Date Issue: 2014
Appears in Collections:Unicamp - Artigos e Outros Documentos

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