Spline-based variational method with constraints for spectrophotometric data correction

IEEE Transactions on Instrumentation and Measurement

Volumn 41, Issue 6, 1992, Pages 786-790

  Slima, Mohamed Ben ^a   Barwicz, Andrzej ^a   Morawski, Roman Z ^b  

^a UNIVERSITÉ DU QUÉBEC À TROIS RIVIÈRES   (Canada)

^b WARSAW UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ERROR COMPENSATION; MEASUREMENT ERRORS; SPECTROPHOTOMETERS; SPECTROPHOTOMETRY; VARIATIONAL TECHNIQUES;

ABSORPTION SPECTRUM MEASUREMENT; COMPUTER AIDED MEASUREMENT; DATA CORRECTION; INSTRUMENTATION ERRORS; SPECTROPHOTOMETRIC MEASUREMENTS;

INSTRUMENT ERRORS;

EID: 0026991185     PISSN: 00189456     EISSN: 15579662     Source Type: Journal    
DOI: 10.1109/19.199408     Document Type: Article

References (6)

1. P. A. Jansson, Deconvolution with Applications in Spectroscopy. New York: Academic Press Inc., 1984, p. 50.
2. P. B. Crilly, “A quantitative evaluation of various iterative deconvolution algorithms,” IEEE Trans. Instrum. Meas., vol. 40, pp. 558–562, June 1991.
3. A. Grace, Optimization Toolbox for Use With MATLAB. The Math Works. Inc., 1990.
4. V. A. Vasilenko, Splines—Theory, Algorithms and Programs. Nauka Pub. Novosibirsk, 1983, § 3.2 (in Russian).
5. Y. E. Vaskoboynikov, N. G. Preobrazenskij, and A. I. Sedelnikov, Mathematical Processing of Experimental Results in Molecular Dynamics. Nauka Pub. Novosibirsk, 1984 (in Russian).
6. K. V. Subbaiah and A. Natarajan, “Derivative unfolding by spline techniques,” Nuclear Instr. & Methods in Physics Res., No. 228, pp. 377–386, 1985.