A noise reduction technique to analyze laser-induced breakdown spectroscopy spectra is presented in this paper. This technique is an adaptive-type technique for noise minimization. It is based on an improved adaptive line enhancement to effectively increase the signal-to-noise ratio level in spectral data. It requires no a priori knowledge of the signal or of the noise, and it has the capability of on-line implementation. Medium and weak spectra are considered, and a comparison with traditional techniques is made to illustrate the applicability of the foregoing technique.
CremersD. A. and RadziemskiL. J, “Laser Plasma for Chemical Analysis”, in Laser Spectroscopy and its Application (Marcel Dekker, New York, 1987), Chap. 5, p. 351.
2.
RadziemskiL. J.LoreeT. R.CremersD. A. and HoffmanN. M, Anal. Chem.55, 1256 (1983).
3.
ZhangH.SinghJ. P. and YuehF. Y, Appl. Spectrosc.46, 1617 (1995).
4.
SinghJ. P.PhilipT.SuC. F. and YuehF. Y, “Study of Laser Induced Breakdown Spectroscopy of Vitrified Glass Sample”, Emerging Technologies in Hazardous Waste Management VI Conference, Atlanta, Georgia (1994).
5.
SavitzkyA. and GolayM. J. E, Anal. Chem.36, 1627 (1964).
6.
IwataT. and KoshoubuJ, Appl. Spectrosc.48, 1453 (1994).
7.
IwataT. and KoshoubuJ, Appl. Spectrosc.50, 747 (1996).
8.
DerksE. P. P. A.PaulyB. A.JonkersJ.BuydensL. M. C. and Van der MullenJ. A. M, “Adaptive Noise Cancellation on Inductively Coupled Plasma Spectroscopy”, in Proceedings of the 1997 European Winter Conference on Plasma Spectrochemistry, University of Ghent, Ghent, Belgium (1997).
9.
WangL.YounanN. H. and MontsD. L“On Using Adaptive Filtering to Extract the Absorption Cross Section of SO2 in ‘DALAs’; System”, in Proceedings of the 27th IEEE Southeastern Symposium on System Theory (IEEE Computer Society Press, Los Alamitos, California, 1995).
10.
OrfanidisS. J., Optimum Signal Processing (McGraw–Hill, New York, 1988), Chap. 7, p. 432.
11.
WidrowB. and StearnsS, Adaptive Signal Processing (Prentice–Hall, Englewood Cliffs, New Jersey, 1985), Chap. 12, p. 354.
12.
ClarksonP. M., Optimal and Adaptive Signal Processing (CRC Press, Baco Raton, Florida, 1993), Chap. 5, p. 217.
