Algorithmic specification of a specialized processor for spectrometric applications

IEEE Transactions on Instrumentation and Measurement

Volumn 49, Issue 6, 2000, Pages 1224-1230

  Ben Slima, Mohamed ^b   Szczecinski, Leszek L ^b,c   Massicotte, Daniel ^a,b   Morawski, Roman Z ^a,d   Barwicz, Andrzej ^a,b  

^a IEEE   (Canada)

^b UNIVERSITÉ DU QUÉBEC À TROIS RIVIÈRES   (Canada)

^c UNIVERSITY OF CHILE   (Chile)

^d WARSAW UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

DIGITAL SIGNAL PROCESSOR; EXTERNAL ALGORITHMIC SPECIFICATION; INTERNAL ALGORITHMIC SPECIFICATION;

ALGORITHMS; APPLICATION SPECIFIC INTEGRATED CIRCUITS; COMPUTER SIMULATION; ERROR CORRECTION; PARAMETER ESTIMATION; SIGNAL RECONSTRUCTION; SPECTROSCOPIC ANALYSIS;

DIGITAL SIGNAL PROCESSING;

EID: 0034467113     PISSN: 00189456     EISSN: None     Source Type: Journal    
DOI: 10.1109/19.893260     Document Type: Article

References (13)

1. P. A. Jansson, Ed., Deconvolution of Spectra and Images. New York: Academic, 1997.
2. M. Ben Slima, R. Z. Morawski, and A. Barwicz, "Spline-based variational method with constraints for spectrophotometric data correction," IEEE Trans. Instrum. Meas., vol. 41, pp. 786-790, Dec. 1992.
3. R. Z. Morawski, L. Szczecinski, and A. Barwicz, "Deconvolution algorithms for instrumental applications - A comparative study," J. Chemometrics, vol. 9, no. 1, pp. 3-20, Jan. 1995.
4. D. Massicotte, R. Z. Morawski, and A. Barwicz, "Kalman-filter-based algorithms of spectrometric data correction - Part I: An iterative algorithm of deconvolution," IEEE Trans. Instrum. Meas., vol. 46, pp. 678-684, June 1997.
5. M. Ben Slima, R. Z. Morawski, and A. Barwicz, "Kalman-filter-based algorithms of spectrometric data correction - Part II: Use of splines for approximation of spectra," IEEE Trans. Instrum. Meas., vol. 46, pp. 685-689, June 1997.
6. A. Barwicz, "Toward an intelligent spectrometric sensor using standard integration technologies," in Proc. IEEE Instr. & Meas. Technol. Conf. (IMTC'97), Ottawa, Canada, May 19-21, 1997, pp. 78-83.
7. L. Szczecinski, R. Z. Morawski, and A. Barwicz, "Numerical correction of spectrometric data using rational filter," J. Chemometrics, vol. 12, pp. 375-379, 1998.
8. A. Miekina, R. Z. Morawski, and A. Barwicz, "The use of deconvolution and iterative optimization for spectrogram correction," IEEE Trans. Instrum. Meas., vol. 46, pp. 1049-1053, Aug. 1997.
9. A. Barwicz, D. Massicotte, Y. Savaria, M.-A. Santerre, and R. Z. Morawski, "An integrated structure for Kalman-filter-based measurand reconstruction," IEEE Trans. Instrum. Meas., vol. 43, pp. 405-410, June 1994.
10. D. Massicotte, M. A. Santerre, Y. Savaria, and A. Barwicz, "Structure of parallel calculus for Kalman-filter into the signal reconstruction" (in French), in Proc. Can. Conf. Electrical & Computer Eng., Toronto, ON, Canada, Sept. 13-16, 1992, pp. TM4.14.1-TM4.16.4.
11. D. Massicotte, "A systolic VLSI implementation of Kalman-filter-based algorithms for signal reconstruction," IEEE Int. Conf. Acoustics, Speech, and Signal Processing - ICASSP'98, pp. 3029-3032, May 12-15, 1998.
12. M. A. Santerre, D. Massicotte, A. Barwicz, and Y. Savaria, "Architecture of specialized processor for Kalman-filter-based signal reconstruction" (in French), in Proc. Can. Conf. Electrical & Computer Eng., Toronto, ON, Canada, Sept. 13-16, 1992, pp. MM7.3.1-MM7.3.4.
13. R. B. Whitted and P. B. Crilly, "A digital signal processing architecture for iterative deconvolution restoration algorithms," IEEE Trans. Instrum. Meas., vol. 41, pp. 147-151, Feb. 1992.