Extraction of Desired Spectra Using ICA Regression with DOAS(Measurement Technology)

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概要

• 論文の詳細を見る

• Recently, DOAS (differential optical absorption spectroscopy) has been used for nondestructive air monitoring, in which the LS (least squares) method is used to calculate trace gas concentrations due to its computational simplicity. This paper applies the ICA (independent component analysis) method to the DOAS system of air monitoring, since the LS method is insufficient to recover the desired spectra perfectly due to sparsity characteristic. If the sparsity of reference spectra in the DOAS system imposes the assumption of independence, the ICA algorithm can be used. The proposed method is used to regress the observed spectrum on the estimates of the reference spectra. The ICA algorithm can be seen as a preprocessing method where the ICs of the references are used as the input in the regression. The performance of the proposed method is evaluated in simulation studies using synthetic data.

• 社団法人電子情報通信学会の論文
• 2005-08-01

著者

• Han Sung-hwan

  Department Of Chemistry Hanyang University

• BAE Hyeon-Deok

  Department of Electronic Engineering, Chungbuk National University

• Bae Hyeon-deok

  Department Of Electronic Engineering Chungbuk National University

• Han Sung‐hwan

  Chungbuk National Univ. Kor

• Bae Hyeon‐deok

  Chungbuk National Univ. Kor

• KIM Hyeon-Ho

  Korea Research Institute of Standards and Science

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• Extraction of Desired Spectra Using ICA Regression with DOAS(Measurement Technology)
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