Linear systems identification from random threshold binary data

IEEE Transactions on Signal Processing

Volumn 44, Issue 8, 1996, Pages 2064-2070

  Rafajłowicz, Ewaryst ^a  

^a WROCLAW UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; DATA ACQUISITION; IDENTIFICATION (CONTROL SYSTEMS); LINEAR CONTROL SYSTEMS; PARAMETER ESTIMATION; RANDOM PROCESSES; SIGNAL THEORY;

LINEAR SYSTEMS IDENTIFICATION; NEUMANN THEOREM; RANDOM THRESHOLD BINARY DATA;

SIGNAL PROCESSING;

EID: 0030214237     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/78.533726     Document Type: Article

References (18)

1. I. S. Chang and C. A. Hsiung, Strassen's invariance principle for random subsequences, Z. Wahrsch. verw. Gebiete, vol. 64, pp. 401-409, 1983.
2. P. J. Davis and P. Rabinowitz, Methods of Numerical Integration. London: Academic, 1984.
3. L. Devroye, Nonuniform Random Variate Generation. New York: Springer-Verlag, 1986.
4. J. Fan and I. Gijbels, Censored regression: Local linear approximations and their applications, J. Amer. Statist. Assoc., vol. 89, pp. 560-570, 1994.
5. W. Greblicki and M. Pawlak, Hammerstein system identification by nonparametric regression estimation, Int. J. Contr., vol. 45, pp. 343-354, 1987.
6. _, Nonparametric identification of a particular nonlinear time series system, IEEE Trans. Signal Processing, vol. 40, pp. 985-989, 1992.
7. Z. Hasiewicz, Identification of a linear system observed through zero-memory nonlinearity, Int. J. Syst. Sci., vol. 18, pp. 1595 1607, 1987.
8. i)]}, SIAM J. Appl. Math., vol. 43, pp. 476-490, 1983.
9. A. Krzyżak and M. Pawlak, Almost everywhere convergence of a recursive regression function estimate and classification, IEEE Trans. Inform. Theory, vol. 30, pp. 91-93, 1984.
10. L. Ljung, System Identification. Theory for the User. Englewood Cliffs, NJ: Prentice-Hall, 1987.
11. P. Meckl, D. E. Lyon, and O. D. Nvokah, Senior control systems laboratory at Purdue University, IEEE Trans. Educ., vol. 27, pp. 71-76, 1994.
12. J. E. Masry, The reconstruction of analog signals from the sign of their noisy samples, IEEE Trans. Inform. Theory, vol. 27, pp. 735-745, 1981.
13. _, The application of random reference sequences to the reconstruction of clipped differentiable signals, IEEE Trans. Acoust., Speech, Signal Processing, vol. 30. pp. 953-963, 1982.
14. 2, Statist. Probab. Lett., pp. 219-224, 1987.
15. R. J. Serfling, Approximation Theorems of Mathematical Statistics. New York: Wiley, 1980.
16. T. Söderström and P. Stoica, System Identification, Englewood Cliffs, NJ: Prentice-Hall, 1989.
17. C. J. Stone, Optimal global rate of convergence for nonparametric regression, Ann. Statist., vol. 10, pp. 1040-1053, 1982.
18. I. Torrang, Law of the iterated logarithm - Cluster points of deterministic and random subsequences, Prob. Math. Stat., vol. 8, pp. 133-144, 1987.