Extraction of Desired Spectra Using ICA Regression with DOAS
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E88-A No.8 pp.2244-2246
- Publication Date
- 2005/08/01
- Publicized
- Online ISSN
- DOI
- 10.1093/ietfec/e88-a.8.2244
- Type of Manuscript
- LETTER
- Category
- Measurement Technology
Authors
Keyword
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Hyeon-Ho KIM, Sung-Hwan HAN, Hyeon-Deok BAE, "Extraction of Desired Spectra Using ICA Regression with DOAS" in IEICE TRANSACTIONS on Fundamentals,
vol. E88-A, no. 8, pp. 2244-2246, August 2005, doi: 10.1093/ietfec/e88-a.8.2244.
Abstract: 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.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e88-a.8.2244/_p
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@ARTICLE{e88-a_8_2244,
author={Hyeon-Ho KIM, Sung-Hwan HAN, Hyeon-Deok BAE, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Extraction of Desired Spectra Using ICA Regression with DOAS},
year={2005},
volume={E88-A},
number={8},
pages={2244-2246},
abstract={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.},
keywords={},
doi={10.1093/ietfec/e88-a.8.2244},
ISSN={},
month={August},}
Copy
TY - JOUR
TI - Extraction of Desired Spectra Using ICA Regression with DOAS
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2244
EP - 2246
AU - Hyeon-Ho KIM
AU - Sung-Hwan HAN
AU - Hyeon-Deok BAE
PY - 2005
DO - 10.1093/ietfec/e88-a.8.2244
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E88-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2005
AB - 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.
ER -
English
