Abstract

This paper discusses the problem of selecting the working spectral points in the method of selective spectral recording, used to detect contaminants in air by means of differential optical absorption spectroscopy on acousto-optic spectrometers with random spectral addressing. Reducing the number of recorded points of the spectrum, which allows the measurement time to be reduced by an order of magnitude, can simultaneously decrease the selectivity of the analysis, and this presents a problem if the composition of the impurity substances is unknown. A partial solution of the problem is proposed that consists of a preliminary study of the variations of the spectra of the gas mixture, and this makes it possible to statistically distinguish the main variable components in the composition of the gaseous mixture and to identify them with definite gases. Versions are proposed for the construction of adaptive systems based on acousto-optic spectrometers and using the technique developed here.

© 2013 Optical Society of America

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  1. S. E.  Harris, R. W.  Wallace, “Acousto-optic tunable filter,” J. Opt. Soc. Am. 59, 744 (1969).
    [CrossRef]
  2. Ch. V.  Gazarov, V. E.  Pozhar, V. N.  Zhogun, “Acousto-optical spectrometer for air-pollution monitoring,” Proc. SPIE 2107, 143 (1993).
    [CrossRef]
  3. A. V.  Fadeyev, V. E.  Pozhar, “Application of independent component analysis method in real-time spectral analysis of gaseous mixtures for acousto-optical spectrometers based on differential optical absorption spectroscopy,” Proc. SPIE 8535, 85350C (2012).
    [CrossRef]
  4. V. E.  Pozhar, V. I.  Pustovoit, “New DOAS technique based on acousto-optic spectrometer,” Proc. SPIE 3818, 69 (1999).
    [CrossRef]
  5. V. I.  Pustovoit, V. E.  Pozhar, “Long-path optical spectral AOTF-based gas analyzer,” Proc. SPIE 4574, 174 (2001).
  6. U.  Platt, D.  Perner, H. W.  Patz, “Simultaneous measurements of atmospheric CH2O, O3 and NO2 by differential optical absorption,” J. Geophys. Res. 84, 6329 (1979).
    [CrossRef]
  7. A.  Hyvarinen, J.  Karhunen, E.  Oja, Independent Component Analysis (Wiley, New York, 2001), p. 481.
  8. V. É.  Pozhar, V. I.  Pustovo?t, “Concerning the optimum algorithm for spectral chemical analysis by means of acousto-optical spectrometers,” Élektromag. Volny Élekt. Sistemy 2, No. 4, 26 (1997).
  9. A. V.  Fadeyev, V. E.  Pozhar, “Optimization of measuring and calibration procedures for gas analyser based on acousto-optical tunable filters,” Proc. SPIE 8082, 808242 (2011).
    [CrossRef]
  10. M. M.  Mazur, V. É.  Pozhar, V. N.  Shorin, Z. A.  Magomedov, “Gas analyzer,” Russian Patent No. 2095788 (1996).
  11. M. M.  Mazur, V. N.  Shorin, V. I.  Pustovo?t, V. É.  Pozhar, A. V.  Fadeev, “Gas-analytic acousto-optic spectrometer–gas analyzer GAOS,” Prib. Tekh. Éksp. 2, 140 (2011).
  12. J.  Stutz, U.  Platt, “Numerical analysis and estimation of the statistical error of differential optical absorption spectroscopy measurements with least-squares methods,” Appl. Opt. 35, 6041 (1996).
    [CrossRef]
  13. M.  Hausmann, U.  Brandenburger, T.  Brauers, H. P.  Dorn, “Simple Monte-Carlo methods to estimate the spectra evaluation error in differential-optical-absorption spectroscopy,” Appl. Opt. 38, 462 (1999).
    [CrossRef]
  14. P.  Comon, C.  Jutten, Handbook of Blind Source Separation, Independent Component Analysis and Applications (Academic Press, Oxford, 2010), Chap. 1, pp. 1–22.
  15. H. H.  Kim, S. H.  Han, H. D.  Bae, “Separation of DOAS measurements data by independent component analysis,” Key Eng. Mater. 270, 703 (2004).
    [CrossRef]
  16. V. D.  Calhoun, T.  Adali, G. D.  Pearlson, J. J.  Pekar, “Spatial and temporal independent component analysis of functional MRI data containing a pair of task-related waveforms,” Hum. Brain Mapp. 13, 43 (2001).
    [CrossRef]
  17. A.  Hyvarinen, E.  Oja, “A fast fixed-point algorithm for independent component analysis,” Neural Comput. 9, 1483 (1997).
    [CrossRef]
  18. A.  Bell, T.  Sejnowski, “An information-maximization approach to blind separation and blind deconvolution,” Neural Comput. 7, 1129 (1995).
    [CrossRef]
  19. J.-F.  Cardoso, “High-order contrasts for independent component analysis,” Neural Comput. 11, 157 (1999).
    [CrossRef]
  20. Y. B.  Monakhova, S. A.  Astakhov, A.  Kraskov, S. P.  Mushtakova, “Independent components in spectroscopic analysis of complex mixtures,” Chemom. Intell. Lab. Syst. 103, 108 (2010).
  21. J.  Jaumot, R.  Gargallo, A.  de Juan, R.  Tauler, “A graphical user-friendly interface for mcr-als: a new tool for multivariate curve resolution in matlab,” Chemom. Intell. Lab. Syst. 76, 101 (2005).
  22. S.  Amari, A.  Cichocki, H.  Yang, “A new learning algorithm for blind signal separation,” in Advances in Neural Information Processing Systems, 1996, vol. 8, pp. 752–763.

2012 (1)

A. V.  Fadeyev, V. E.  Pozhar, “Application of independent component analysis method in real-time spectral analysis of gaseous mixtures for acousto-optical spectrometers based on differential optical absorption spectroscopy,” Proc. SPIE 8535, 85350C (2012).
[CrossRef]

2011 (2)

A. V.  Fadeyev, V. E.  Pozhar, “Optimization of measuring and calibration procedures for gas analyser based on acousto-optical tunable filters,” Proc. SPIE 8082, 808242 (2011).
[CrossRef]

M. M.  Mazur, V. N.  Shorin, V. I.  Pustovo?t, V. É.  Pozhar, A. V.  Fadeev, “Gas-analytic acousto-optic spectrometer–gas analyzer GAOS,” Prib. Tekh. Éksp. 2, 140 (2011).

2010 (1)

Y. B.  Monakhova, S. A.  Astakhov, A.  Kraskov, S. P.  Mushtakova, “Independent components in spectroscopic analysis of complex mixtures,” Chemom. Intell. Lab. Syst. 103, 108 (2010).

2005 (1)

J.  Jaumot, R.  Gargallo, A.  de Juan, R.  Tauler, “A graphical user-friendly interface for mcr-als: a new tool for multivariate curve resolution in matlab,” Chemom. Intell. Lab. Syst. 76, 101 (2005).

2004 (1)

H. H.  Kim, S. H.  Han, H. D.  Bae, “Separation of DOAS measurements data by independent component analysis,” Key Eng. Mater. 270, 703 (2004).
[CrossRef]

2001 (2)

V. D.  Calhoun, T.  Adali, G. D.  Pearlson, J. J.  Pekar, “Spatial and temporal independent component analysis of functional MRI data containing a pair of task-related waveforms,” Hum. Brain Mapp. 13, 43 (2001).
[CrossRef]

V. I.  Pustovoit, V. E.  Pozhar, “Long-path optical spectral AOTF-based gas analyzer,” Proc. SPIE 4574, 174 (2001).

1999 (3)

V. E.  Pozhar, V. I.  Pustovoit, “New DOAS technique based on acousto-optic spectrometer,” Proc. SPIE 3818, 69 (1999).
[CrossRef]

M.  Hausmann, U.  Brandenburger, T.  Brauers, H. P.  Dorn, “Simple Monte-Carlo methods to estimate the spectra evaluation error in differential-optical-absorption spectroscopy,” Appl. Opt. 38, 462 (1999).
[CrossRef]

J.-F.  Cardoso, “High-order contrasts for independent component analysis,” Neural Comput. 11, 157 (1999).
[CrossRef]

1997 (2)

V. É.  Pozhar, V. I.  Pustovo?t, “Concerning the optimum algorithm for spectral chemical analysis by means of acousto-optical spectrometers,” Élektromag. Volny Élekt. Sistemy 2, No. 4, 26 (1997).

A.  Hyvarinen, E.  Oja, “A fast fixed-point algorithm for independent component analysis,” Neural Comput. 9, 1483 (1997).
[CrossRef]

1996 (1)

1995 (1)

A.  Bell, T.  Sejnowski, “An information-maximization approach to blind separation and blind deconvolution,” Neural Comput. 7, 1129 (1995).
[CrossRef]

1993 (1)

Ch. V.  Gazarov, V. E.  Pozhar, V. N.  Zhogun, “Acousto-optical spectrometer for air-pollution monitoring,” Proc. SPIE 2107, 143 (1993).
[CrossRef]

1979 (1)

U.  Platt, D.  Perner, H. W.  Patz, “Simultaneous measurements of atmospheric CH2O, O3 and NO2 by differential optical absorption,” J. Geophys. Res. 84, 6329 (1979).
[CrossRef]

1969 (1)

Adali, T.

V. D.  Calhoun, T.  Adali, G. D.  Pearlson, J. J.  Pekar, “Spatial and temporal independent component analysis of functional MRI data containing a pair of task-related waveforms,” Hum. Brain Mapp. 13, 43 (2001).
[CrossRef]

Amari, S.

S.  Amari, A.  Cichocki, H.  Yang, “A new learning algorithm for blind signal separation,” in Advances in Neural Information Processing Systems, 1996, vol. 8, pp. 752–763.

Astakhov, S. A.

Y. B.  Monakhova, S. A.  Astakhov, A.  Kraskov, S. P.  Mushtakova, “Independent components in spectroscopic analysis of complex mixtures,” Chemom. Intell. Lab. Syst. 103, 108 (2010).

Bae, H. D.

H. H.  Kim, S. H.  Han, H. D.  Bae, “Separation of DOAS measurements data by independent component analysis,” Key Eng. Mater. 270, 703 (2004).
[CrossRef]

Bell, A.

A.  Bell, T.  Sejnowski, “An information-maximization approach to blind separation and blind deconvolution,” Neural Comput. 7, 1129 (1995).
[CrossRef]

Brandenburger, U.

Brauers, T.

Calhoun, V. D.

V. D.  Calhoun, T.  Adali, G. D.  Pearlson, J. J.  Pekar, “Spatial and temporal independent component analysis of functional MRI data containing a pair of task-related waveforms,” Hum. Brain Mapp. 13, 43 (2001).
[CrossRef]

Cardoso, J.-F.

J.-F.  Cardoso, “High-order contrasts for independent component analysis,” Neural Comput. 11, 157 (1999).
[CrossRef]

Cichocki, A.

S.  Amari, A.  Cichocki, H.  Yang, “A new learning algorithm for blind signal separation,” in Advances in Neural Information Processing Systems, 1996, vol. 8, pp. 752–763.

Comon, P.

P.  Comon, C.  Jutten, Handbook of Blind Source Separation, Independent Component Analysis and Applications (Academic Press, Oxford, 2010), Chap. 1, pp. 1–22.

de Juan, A.

J.  Jaumot, R.  Gargallo, A.  de Juan, R.  Tauler, “A graphical user-friendly interface for mcr-als: a new tool for multivariate curve resolution in matlab,” Chemom. Intell. Lab. Syst. 76, 101 (2005).

Dorn, H. P.

Fadeev, A. V.

M. M.  Mazur, V. N.  Shorin, V. I.  Pustovo?t, V. É.  Pozhar, A. V.  Fadeev, “Gas-analytic acousto-optic spectrometer–gas analyzer GAOS,” Prib. Tekh. Éksp. 2, 140 (2011).

Fadeyev, A. V.

A. V.  Fadeyev, V. E.  Pozhar, “Application of independent component analysis method in real-time spectral analysis of gaseous mixtures for acousto-optical spectrometers based on differential optical absorption spectroscopy,” Proc. SPIE 8535, 85350C (2012).
[CrossRef]

A. V.  Fadeyev, V. E.  Pozhar, “Optimization of measuring and calibration procedures for gas analyser based on acousto-optical tunable filters,” Proc. SPIE 8082, 808242 (2011).
[CrossRef]

Gargallo, R.

J.  Jaumot, R.  Gargallo, A.  de Juan, R.  Tauler, “A graphical user-friendly interface for mcr-als: a new tool for multivariate curve resolution in matlab,” Chemom. Intell. Lab. Syst. 76, 101 (2005).

Gazarov, Ch. V.

Ch. V.  Gazarov, V. E.  Pozhar, V. N.  Zhogun, “Acousto-optical spectrometer for air-pollution monitoring,” Proc. SPIE 2107, 143 (1993).
[CrossRef]

Han, S. H.

H. H.  Kim, S. H.  Han, H. D.  Bae, “Separation of DOAS measurements data by independent component analysis,” Key Eng. Mater. 270, 703 (2004).
[CrossRef]

Harris, S. E.

Hausmann, M.

Hyvarinen, A.

A.  Hyvarinen, E.  Oja, “A fast fixed-point algorithm for independent component analysis,” Neural Comput. 9, 1483 (1997).
[CrossRef]

A.  Hyvarinen, J.  Karhunen, E.  Oja, Independent Component Analysis (Wiley, New York, 2001), p. 481.

Jaumot, J.

J.  Jaumot, R.  Gargallo, A.  de Juan, R.  Tauler, “A graphical user-friendly interface for mcr-als: a new tool for multivariate curve resolution in matlab,” Chemom. Intell. Lab. Syst. 76, 101 (2005).

Jutten, C.

P.  Comon, C.  Jutten, Handbook of Blind Source Separation, Independent Component Analysis and Applications (Academic Press, Oxford, 2010), Chap. 1, pp. 1–22.

Karhunen, J.

A.  Hyvarinen, J.  Karhunen, E.  Oja, Independent Component Analysis (Wiley, New York, 2001), p. 481.

Kim, H. H.

H. H.  Kim, S. H.  Han, H. D.  Bae, “Separation of DOAS measurements data by independent component analysis,” Key Eng. Mater. 270, 703 (2004).
[CrossRef]

Kraskov, A.

Y. B.  Monakhova, S. A.  Astakhov, A.  Kraskov, S. P.  Mushtakova, “Independent components in spectroscopic analysis of complex mixtures,” Chemom. Intell. Lab. Syst. 103, 108 (2010).

Magomedov, Z. A.

M. M.  Mazur, V. É.  Pozhar, V. N.  Shorin, Z. A.  Magomedov, “Gas analyzer,” Russian Patent No. 2095788 (1996).

Mazur, M. M.

M. M.  Mazur, V. N.  Shorin, V. I.  Pustovo?t, V. É.  Pozhar, A. V.  Fadeev, “Gas-analytic acousto-optic spectrometer–gas analyzer GAOS,” Prib. Tekh. Éksp. 2, 140 (2011).

M. M.  Mazur, V. É.  Pozhar, V. N.  Shorin, Z. A.  Magomedov, “Gas analyzer,” Russian Patent No. 2095788 (1996).

Monakhova, Y. B.

Y. B.  Monakhova, S. A.  Astakhov, A.  Kraskov, S. P.  Mushtakova, “Independent components in spectroscopic analysis of complex mixtures,” Chemom. Intell. Lab. Syst. 103, 108 (2010).

Mushtakova, S. P.

Y. B.  Monakhova, S. A.  Astakhov, A.  Kraskov, S. P.  Mushtakova, “Independent components in spectroscopic analysis of complex mixtures,” Chemom. Intell. Lab. Syst. 103, 108 (2010).

Oja, E.

A.  Hyvarinen, E.  Oja, “A fast fixed-point algorithm for independent component analysis,” Neural Comput. 9, 1483 (1997).
[CrossRef]

A.  Hyvarinen, J.  Karhunen, E.  Oja, Independent Component Analysis (Wiley, New York, 2001), p. 481.

Patz, H. W.

U.  Platt, D.  Perner, H. W.  Patz, “Simultaneous measurements of atmospheric CH2O, O3 and NO2 by differential optical absorption,” J. Geophys. Res. 84, 6329 (1979).
[CrossRef]

Pearlson, G. D.

V. D.  Calhoun, T.  Adali, G. D.  Pearlson, J. J.  Pekar, “Spatial and temporal independent component analysis of functional MRI data containing a pair of task-related waveforms,” Hum. Brain Mapp. 13, 43 (2001).
[CrossRef]

Pekar, J. J.

V. D.  Calhoun, T.  Adali, G. D.  Pearlson, J. J.  Pekar, “Spatial and temporal independent component analysis of functional MRI data containing a pair of task-related waveforms,” Hum. Brain Mapp. 13, 43 (2001).
[CrossRef]

Perner, D.

U.  Platt, D.  Perner, H. W.  Patz, “Simultaneous measurements of atmospheric CH2O, O3 and NO2 by differential optical absorption,” J. Geophys. Res. 84, 6329 (1979).
[CrossRef]

Platt, U.

J.  Stutz, U.  Platt, “Numerical analysis and estimation of the statistical error of differential optical absorption spectroscopy measurements with least-squares methods,” Appl. Opt. 35, 6041 (1996).
[CrossRef]

U.  Platt, D.  Perner, H. W.  Patz, “Simultaneous measurements of atmospheric CH2O, O3 and NO2 by differential optical absorption,” J. Geophys. Res. 84, 6329 (1979).
[CrossRef]

Pozhar, V. E.

A. V.  Fadeyev, V. E.  Pozhar, “Application of independent component analysis method in real-time spectral analysis of gaseous mixtures for acousto-optical spectrometers based on differential optical absorption spectroscopy,” Proc. SPIE 8535, 85350C (2012).
[CrossRef]

A. V.  Fadeyev, V. E.  Pozhar, “Optimization of measuring and calibration procedures for gas analyser based on acousto-optical tunable filters,” Proc. SPIE 8082, 808242 (2011).
[CrossRef]

V. I.  Pustovoit, V. E.  Pozhar, “Long-path optical spectral AOTF-based gas analyzer,” Proc. SPIE 4574, 174 (2001).

V. E.  Pozhar, V. I.  Pustovoit, “New DOAS technique based on acousto-optic spectrometer,” Proc. SPIE 3818, 69 (1999).
[CrossRef]

Ch. V.  Gazarov, V. E.  Pozhar, V. N.  Zhogun, “Acousto-optical spectrometer for air-pollution monitoring,” Proc. SPIE 2107, 143 (1993).
[CrossRef]

Pozhar, V. É.

M. M.  Mazur, V. N.  Shorin, V. I.  Pustovo?t, V. É.  Pozhar, A. V.  Fadeev, “Gas-analytic acousto-optic spectrometer–gas analyzer GAOS,” Prib. Tekh. Éksp. 2, 140 (2011).

V. É.  Pozhar, V. I.  Pustovo?t, “Concerning the optimum algorithm for spectral chemical analysis by means of acousto-optical spectrometers,” Élektromag. Volny Élekt. Sistemy 2, No. 4, 26 (1997).

M. M.  Mazur, V. É.  Pozhar, V. N.  Shorin, Z. A.  Magomedov, “Gas analyzer,” Russian Patent No. 2095788 (1996).

Pustovoit, V. I.

M. M.  Mazur, V. N.  Shorin, V. I.  Pustovo?t, V. É.  Pozhar, A. V.  Fadeev, “Gas-analytic acousto-optic spectrometer–gas analyzer GAOS,” Prib. Tekh. Éksp. 2, 140 (2011).

V. I.  Pustovoit, V. E.  Pozhar, “Long-path optical spectral AOTF-based gas analyzer,” Proc. SPIE 4574, 174 (2001).

V. E.  Pozhar, V. I.  Pustovoit, “New DOAS technique based on acousto-optic spectrometer,” Proc. SPIE 3818, 69 (1999).
[CrossRef]

V. É.  Pozhar, V. I.  Pustovo?t, “Concerning the optimum algorithm for spectral chemical analysis by means of acousto-optical spectrometers,” Élektromag. Volny Élekt. Sistemy 2, No. 4, 26 (1997).

Sejnowski, T.

A.  Bell, T.  Sejnowski, “An information-maximization approach to blind separation and blind deconvolution,” Neural Comput. 7, 1129 (1995).
[CrossRef]

Shorin, V. N.

M. M.  Mazur, V. N.  Shorin, V. I.  Pustovo?t, V. É.  Pozhar, A. V.  Fadeev, “Gas-analytic acousto-optic spectrometer–gas analyzer GAOS,” Prib. Tekh. Éksp. 2, 140 (2011).

M. M.  Mazur, V. É.  Pozhar, V. N.  Shorin, Z. A.  Magomedov, “Gas analyzer,” Russian Patent No. 2095788 (1996).

Stutz, J.

Tauler, R.

J.  Jaumot, R.  Gargallo, A.  de Juan, R.  Tauler, “A graphical user-friendly interface for mcr-als: a new tool for multivariate curve resolution in matlab,” Chemom. Intell. Lab. Syst. 76, 101 (2005).

Wallace, R. W.

Yang, H.

S.  Amari, A.  Cichocki, H.  Yang, “A new learning algorithm for blind signal separation,” in Advances in Neural Information Processing Systems, 1996, vol. 8, pp. 752–763.

Zhogun, V. N.

Ch. V.  Gazarov, V. E.  Pozhar, V. N.  Zhogun, “Acousto-optical spectrometer for air-pollution monitoring,” Proc. SPIE 2107, 143 (1993).
[CrossRef]

Appl. Opt. (2)

Chemom. Intell. Lab. Syst. (2)

Y. B.  Monakhova, S. A.  Astakhov, A.  Kraskov, S. P.  Mushtakova, “Independent components in spectroscopic analysis of complex mixtures,” Chemom. Intell. Lab. Syst. 103, 108 (2010).

J.  Jaumot, R.  Gargallo, A.  de Juan, R.  Tauler, “A graphical user-friendly interface for mcr-als: a new tool for multivariate curve resolution in matlab,” Chemom. Intell. Lab. Syst. 76, 101 (2005).

Élektromag. Volny Élekt. Sistemy (1)

V. É.  Pozhar, V. I.  Pustovo?t, “Concerning the optimum algorithm for spectral chemical analysis by means of acousto-optical spectrometers,” Élektromag. Volny Élekt. Sistemy 2, No. 4, 26 (1997).

Hum. Brain Mapp. (1)

V. D.  Calhoun, T.  Adali, G. D.  Pearlson, J. J.  Pekar, “Spatial and temporal independent component analysis of functional MRI data containing a pair of task-related waveforms,” Hum. Brain Mapp. 13, 43 (2001).
[CrossRef]

J. Geophys. Res. (1)

U.  Platt, D.  Perner, H. W.  Patz, “Simultaneous measurements of atmospheric CH2O, O3 and NO2 by differential optical absorption,” J. Geophys. Res. 84, 6329 (1979).
[CrossRef]

J. Opt. Soc. Am. (1)

Key Eng. Mater. (1)

H. H.  Kim, S. H.  Han, H. D.  Bae, “Separation of DOAS measurements data by independent component analysis,” Key Eng. Mater. 270, 703 (2004).
[CrossRef]

Neural Comput. (3)

A.  Hyvarinen, E.  Oja, “A fast fixed-point algorithm for independent component analysis,” Neural Comput. 9, 1483 (1997).
[CrossRef]

A.  Bell, T.  Sejnowski, “An information-maximization approach to blind separation and blind deconvolution,” Neural Comput. 7, 1129 (1995).
[CrossRef]

J.-F.  Cardoso, “High-order contrasts for independent component analysis,” Neural Comput. 11, 157 (1999).
[CrossRef]

Prib. Tekh. Éksp. (1)

M. M.  Mazur, V. N.  Shorin, V. I.  Pustovo?t, V. É.  Pozhar, A. V.  Fadeev, “Gas-analytic acousto-optic spectrometer–gas analyzer GAOS,” Prib. Tekh. Éksp. 2, 140 (2011).

Proc. SPIE (5)

Ch. V.  Gazarov, V. E.  Pozhar, V. N.  Zhogun, “Acousto-optical spectrometer for air-pollution monitoring,” Proc. SPIE 2107, 143 (1993).
[CrossRef]

A. V.  Fadeyev, V. E.  Pozhar, “Application of independent component analysis method in real-time spectral analysis of gaseous mixtures for acousto-optical spectrometers based on differential optical absorption spectroscopy,” Proc. SPIE 8535, 85350C (2012).
[CrossRef]

V. E.  Pozhar, V. I.  Pustovoit, “New DOAS technique based on acousto-optic spectrometer,” Proc. SPIE 3818, 69 (1999).
[CrossRef]

V. I.  Pustovoit, V. E.  Pozhar, “Long-path optical spectral AOTF-based gas analyzer,” Proc. SPIE 4574, 174 (2001).

A. V.  Fadeyev, V. E.  Pozhar, “Optimization of measuring and calibration procedures for gas analyser based on acousto-optical tunable filters,” Proc. SPIE 8082, 808242 (2011).
[CrossRef]

Other (4)

M. M.  Mazur, V. É.  Pozhar, V. N.  Shorin, Z. A.  Magomedov, “Gas analyzer,” Russian Patent No. 2095788 (1996).

A.  Hyvarinen, J.  Karhunen, E.  Oja, Independent Component Analysis (Wiley, New York, 2001), p. 481.

P.  Comon, C.  Jutten, Handbook of Blind Source Separation, Independent Component Analysis and Applications (Academic Press, Oxford, 2010), Chap. 1, pp. 1–22.

S.  Amari, A.  Cichocki, H.  Yang, “A new learning algorithm for blind signal separation,” in Advances in Neural Information Processing Systems, 1996, vol. 8, pp. 752–763.

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