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Volumn 70, Issue 2, 2004, Pages 147-155

An information-theoretic methodology for the resolution of pure component spectra without prior information using spectroscopic measurements

Author keywords

Black model; Entropy minimization; Independent component analysis; Information theory; Infrared spectroscopy; Pure component spectrum

Indexed keywords

ANALYTIC METHOD; ARTICLE; CHEMOMETRIC ANALYSIS; ENTROPY; INDEPENDENT COMPONENT ANALYSIS; INFRARED SPECTROSCOPY; PRIORITY JOURNAL; STATISTICAL ANALYSIS; THEORETICAL STUDY;

EID: 1142309557     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chemolab.2003.11.003     Document Type: Article
Times cited : (31)

References (18)
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    • (1995) Neural Computation , vol.7 , Issue.6 , pp. 1004-1034
    • Bell, A.J.1    Sejnowski, T.J.2
  • 13
    • 0031122399 scopus 로고    scopus 로고
    • Infomax and maximum likelihood for source separation
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    • Blind source separation-semi-parametric statistical approach
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    • Amari, S.1    Cardoso, J.-F.2
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    • Variational learning of clusters of undercomplete nonsymmetric independent components
    • Chan K., Lee T.-W., Sejnowski T.J. Variational learning of clusters of undercomplete nonsymmetric independent components. Journal of Machine Learning. 3:2002;99-114.
    • (2002) Journal of Machine Learning , vol.3 , pp. 99-114
    • Chan, K.1    Lee, T.-W.2    Sejnowski, T.J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.