Empirical kernel map approach to nonlinear underdetermined blind separation of sparse nonnegative dependent sources: pure component extraction from nonlinear mixture mass spectra-Reference-Cited by-同舟云学术

Empirical kernel map approach to nonlinear underdetermined blind separation of sparse nonnegative dependent sources: pure component extraction from nonlinear mixture mass spectra

Published:2014-05-20 Issue:9 Volume:28 Page:704-715
ISSN:0886-9383
Container-title:Journal of Chemometrics
language:en
Short-container-title:J. Chemometrics

Author:

Kopriva Ivica¹,Jerić Ivanka²,Filipović Marko¹,Brkljačić Lidija²

Affiliation:

1. Division of Laser and Atomic Research and Development; Ruđer Bošković Institute; Bijenička cesta 54 HR-10000 Zagreb Croatia

2. Division of Organic Chemistry and Biochemistry; Ruđer Bošković Institute; Bijenička cesta 54 HR-10000 Zagreb Croatia

Funder

Croatian Science Foundation

Publisher

Wiley

Subject

Applied Mathematics,Analytical Chemistry

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/cem.2635/fullpdf

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4. Nonlinear mixture-wise expansion approach to underdetermined blind separation of nonnegative dependent sources;Kopriva;J. Chemometrics,2013

5. Annotation of the human adult urinary metabolome and metabolite identification using ultra high performance liquid chromatography coupled to a linear quadrupole ion trap-orbitrap mass spectrometer;Roux;Anal. Chem.,2012

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3. Explicit-implicit mapping approach to nonlinear blind separation of sparse nonnegative dependent sources from a single mixture: pure component extraction from nonlinear mixture mass spectra;Journal of Chemometrics;2015-10-12

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