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Volumn 48-49, Issue , 2011, Pages 1358-1362

Wavelet analysis of near infrared spectral data in the application of denoising

Author keywords

Denoising; Near infrared spectroscopy; Signal processing; Wavelet analysis

Indexed keywords

BLOOD GLUCOSE; DE-NOISING; FOURIER METHODS; NEAR INFRARED; NEAR INFRARED SPECTRA; PRE-TREATMENT; RESEARCH OBJECT; SIMULATION RESULT; SPECTRUM SIGNALS;

EID: 79951639966     PISSN: 16609336     EISSN: 16627482     Source Type: Book Series    
DOI: 10.4028/www.scientific.net/AMM.48-49.1358     Document Type: Conference Paper
Times cited : (2)

References (7)
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  • 2
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  • 3
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    • Wavelength intervalselection in multic- omponent spectral analysis by moving window partial least-squaresregression with applications to mid-infrared and near-infrared spectroscopic data
    • Jian-Hui Jiang,R.JamesBerry,HeinzW.Siesler,Yukihiro Ozakib.Wavelength intervalselection in multic- omponent spectral analysis by moving window partial least-squaresregression with applications to mid-infrared and near-infrared spectroscopic data. Anal.Chem.2002,74:3555-3565.
    • (2002) Anal.Chem. , vol.74 , pp. 3555-3565
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    • Vetterli, M.1    Herley, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.