TRLFS: Analysing spectra with an expectation-maximization (EM) algorithm

Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy

Volumn 71, Issue 4, 2008, Pages 1425-1432

  Steinborn, A ^a   Taut, S ^a   Brendler, V ^b   Geipel, G ^b   Flach, B ^a  

^a DRESDEN UNIVERSITY OF TECHNOLOGY   (Germany)

^b INSTITUTE OF ION BEAM PHYSICS AND MATERIALS RESEARCH   (Germany)

Author keywords

Expectation maximization; Time resolved laser induced fluorescence spectroscopy

Indexed keywords

BLIND SOURCE SEPARATION; BOOLEAN FUNCTIONS; CURVE FITTING; ELECTROMAGNETIC WAVES; FLUORESCENCE; KETONES; LEAST SQUARES APPROXIMATIONS; LIGHT EMISSION; LUMINESCENCE; MAXIMUM LIKELIHOOD ESTIMATION; MAXIMUM PRINCIPLE; PARAMETER ESTIMATION; PHOTONS; PROBABILITY; PROBABILITY DISTRIBUTIONS; STATISTICAL METHODS;

ATTRIBUTE VALUES; CHEMICAL SPECIES; EMISSION TIME; EMITTED PHOTONS; EXPECTATION MAXIMIZATION; EXPECTATION-MAXIMIZATION ALGORITHMS; INCOMPLETE DATUM; LEAST SQUARES METHODS; MODEL ESTIMATIONS; MODEL PARAMETERS; NEW APPROACHES; PROBABILITY DENSITY DISTRIBUTION; SIMULTANEOUS DETECTION; SPECTRAL MODELING; STATISTICAL MODELLING; TIME-RESOLVED LASER-INDUCED FLUORESCENCE SPECTROSCOPY;

EMISSION SPECTROSCOPY;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; CHEMICAL MODEL; LASER; METHODOLOGY; PHOTON; PROBABILITY; REGRESSION ANALYSIS; SPECTROFLUOROMETRY; STATISTICAL ANALYSIS; STATISTICAL MODEL; TIME;

ALGORITHMS; DATA INTERPRETATION, STATISTICAL; LASERS; LEAST-SQUARES ANALYSIS; LIKELIHOOD FUNCTIONS; MODELS, CHEMICAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; PHOTONS; PROBABILITY; SPECTROMETRY, FLUORESCENCE; TIME FACTORS;

EID: 53949091432     PISSN: 13861425     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.saa.2008.04.018     Document Type: Article

References (16)

1. Bell J.T., and Biggers R.E. J. Mol. Spectrosc. 25 (1968) 312-329
2. Geipel G., Brachmann A., Brendler V., Bernhard G., and Nitsche H. Radiochim. Acta 75 (1996) 199-204
3. Bernhard G., Geipel G., Reich T., Brendler V., Amayri S., and Nitsche H. Radiochim. Acta 89 (2001) 1-8
4. Baumann N., Brendler V., Arnold T., and Geipel G. J. Colloid Interface Sci. 290 (2005) 318-324
5. Arnold T., Utsunomiya S., Geipel G., Ewing R.C., Baumann N., and Brendler V. Environ. Sci. Technol. 40 (2006) 4646-4652
6. Azenha M.E.D.G.B., Burrows H.D., Formosinho S.J., Miguel M.G.M., Darmanyan A.P., and Khudyakov I.V. J. Lumin. 48/49 (1991) 522-526
7. Moulin C., Laszak I., Moulin V., and Tondre C. Appl. Spectrosc. 52 (1998) 528-535
8. Eliet V., Grenthe I., and Bidoglio G. Appl. Spectrosc. 54 (2000) 99-105
9. Wang Z., Zachara J.M., Yantasee W., Gassman P.L., Liu C.X., and Joly A.G. Environ. Sci. Technol. 38 (2004) 5591-5597
10. Kirishima A., Kimura T., Tochiyama O., and Yoshida Z. J. Alloys Compd. 374 (2004) 277-282
11. Moulin C., Decambox P., Moulin V., and Decaillon J.G. Anal. Chem. 67 (1995) 348-353
12. Dempster A.P., Laird N.M., and Rubin D.B. Proc. Roy. Stat. Soc. B 39 (1977) 1-38
13. Shlezinger M.I. Kibernetika 2 (1968) 81-88 [in Russian; English translation: Cybernet. Syst. Anal. 4 (1968) 66-71]
14. Schlesinger M.I., and Hlaváč V. Ten Lectures on Statistical and Structural Pattern Recognition (2002), Kluwer Academic Publishers
15. C. Couvreur, Proceedings of the Second IEEE European Workshop on Computer-Intensive Methods in Control and Signal Processing, 1996, pp. 115-120.
16. Billard I., Ansoborlo E., Apperson K., Arpigny S., Azenha M.E., Birch D., Bros P., Burrows D., Hugh G., Choppin L., Couston V., Dubois T., Fanghänel G., Geipel S., Hubert J.I., Kim T., Kimura R., Klenze A., Kronenberg M., Kumke G., Lagarde G., Lamarque S., Lis C., Madic G., Meinrath C., Moulin R., Nagaishi D., Parker G., Plancque F., Scherbaum E., Simoni S., Sinkov C., and Viallesoubranne. Appl. Spectrosc. 57 (2003) 1027-1038