A partial least squares and wavelet-transform hybrid model to analyze carbon content in coal using laser-induced breakdown spectroscopy

Analytica Chimica Acta

Volumn 807, Issue , 2014, Pages 29-35

  Yuan, Tingbi ^a,b   Wang, Zhe ^a   Li, Zheng ^a   Ni, Weidou ^a   Liu, Jianmin ^b  

^a TSINGHUA UNIVERSITY   (China)

^b Guodian Science and Technology Research Institute   (China)

Author keywords

Coal; Laser induced breakdown spectroscopy; Partial least square regression; Wavelet transform

Indexed keywords

AVERAGE RELATIVE ERROR; BACKGROUND NOISE REDUCTION; DECOMPOSITION LEVEL; EXPERIMENTAL CONDITIONS; LASERINDUCED BREAKDOWN SPECTROSCOPY (LIBS); PARTIAL LEAST SQUARE (PLS); PARTIAL LEAST SQUARE REGRESSION; WAVELET COEFFICIENTS;

ATOMIC EMISSION SPECTROSCOPY; COAL; HELIUM; LEAST SQUARES APPROXIMATIONS; WAVELET ANALYSIS; WAVELET TRANSFORMS;

CARBON;

ARGON; CARBON; COAL; HELIUM;

ACCURACY; ARTICLE; CALIBRATION; LASER INDUCED BREAKDOWN SPECTROSCOPY; NOISE REDUCTION; PARTIAL LEAST SQUARES REGRESSION; PREDICTION; PRIORITY JOURNAL; SIGNAL NOISE RATIO; SPECTROSCOPY; WAVELET ANALYSIS;

EID: 84890440945     PISSN: 00032670     EISSN: 18734324     Source Type: Journal    
DOI: 10.1016/j.aca.2013.11.027     Document Type: Article

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