Nonparametric identification assuming two noise sources: A deconvolution approach

IEEE Transactions on Instrumentation and Measurement

Volumn 47, Issue 4, 1998, Pages 828-832

  Dabóczi, Tamás ^a  

^a BUDAPEST UNIVERSITY OF TECHNOLOGY AND ECONOMICS   (Hungary)

Author keywords

Deconvolutions; Identification; Inverse problem; Nonparametric identification; Signal reconstruction; Signal restoration

Indexed keywords

ALGORITHMS; IDENTIFICATION (CONTROL SYSTEMS); IMPULSE RESPONSE; INVERSE PROBLEMS; OPTIMIZATION; PROBLEM SOLVING; SIGNAL NOISE MEASUREMENT; SIGNAL RECONSTRUCTION;

SIGNAL RESTORATION;

LINEAR CONTROL SYSTEMS;

EID: 0032131724     PISSN: 00189456     EISSN: None     Source Type: Journal    
DOI: 10.1109/19.744629     Document Type: Article

References (13)

1. A. N. Tikhonov and V. Y. Arsenin, Solution of Ill-Posed Problems. New York: Wiley, 1977.
2. T. K. Sarkar, D. D. Weiner, and V. K. Jain, "Some mathematical considerations in dealing with the inverse problem," IEEE Trans. Antennas Propagat., vol. AP-29, pp. 373-379, Mar. 1981.
3. P. B. Crilly, "Error analysis with deconvolution algorithms," IEEE Trans. Instrum. Meas., vol. 42, no. 1, p. 78, Feb. 1993.
4. T. Dabóczi and I. Kollár, "Multiparameter optimization of inverse filtering algorithms," IEEE Trans. Instrum. Meas., vol. 45, pp. 417-421, Apr. 1996.
5. N. S. Nahman, "Software correction of measured pulse data," in Fast Electrical an Optical Measurements, J. E. Thompson and L. H. Luessen, Eds., NATO ASI Series. Boston, MA: Martin Nijhoff, 1986, pp. 351-417.
6. B. Parruck and S. M. Riad, "An optimization criterion for iterative deconvolution," IEEE Trans. Instrum. Meas., vol. IM-32, pp. 137-140, Mar. 1983.
7. _, "Study and performance evaluation of two iterative frequency-domain deconvolution technique," IEEE Trans. Instrum. Meas., vol. IM-33, pp. 281-287, Dec. 1984.
8. C. Narduzzi and C. Offelli, "A time-domain method for the accurate characterization of linear systems," IEEE Trans. Instrum. Meas., vol. 40, pp. 415-419, Apr. 1991.
9. M. Bertocco, C. Narduzzi, C. Offelli, and D. Petri, "An improved method for iterative identification of bandlimited linear systems," IEEE Trans. Instrum. Meas. Technol. Conf., Atlanta, GA, May 1991, CH2940-5/91, pp. 368-372.
10. T. Dhaene, L. Martens, and D. De Zutter, "Extended Bennia-Riad criterion for iterative frequency-domain deconvolution," IEEE Trans. Instrum. Meas., vol. 42, pp. 176-180, Apr. 1994.
11. N. S. Nahman and M. E. Guillaume, "Deconvolution of time domain waveforms in the presence of noise," Tech. Note 1047, Nat. Bureau Standards, Boulder, CO, 1981.
12. S. M. Riad, "The deconvolution problem: An overview," Proc. IEEE, vol. 74, pp. 82-85, Jan. 1988.
13. T. Dabóczi, "Deconvolution of transient signals," Ph.D. dissertation, Tech. Univ. Budapest, Hungary, available as Tech. Rep. Tech., Ser. Electrical Engineering, Budapest, no. TUB-TR-94-EE12.