A view on filtering of continuous data signals

Ivan Nagy; Miroslav Kárný

Kybernetika (1992)

  • Volume: 28, Issue: 6, page 494-505
  • ISSN: 0023-5954

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Nagy, Ivan, and Kárný, Miroslav. "A view on filtering of continuous data signals." Kybernetika 28.6 (1992): 494-505. <http://eudml.org/doc/28501>.

@article{Nagy1992,
author = {Nagy, Ivan, Kárný, Miroslav},
journal = {Kybernetika},
keywords = {continuous signals; Bayesian identification},
language = {eng},
number = {6},
pages = {494-505},
publisher = {Institute of Information Theory and Automation AS CR},
title = {A view on filtering of continuous data signals},
url = {http://eudml.org/doc/28501},
volume = {28},
year = {1992},
}

TY - JOUR
AU - Nagy, Ivan
AU - Kárný, Miroslav
TI - A view on filtering of continuous data signals
JO - Kybernetika
PY - 1992
PB - Institute of Information Theory and Automation AS CR
VL - 28
IS - 6
SP - 494
EP - 505
LA - eng
KW - continuous signals; Bayesian identification
UR - http://eudml.org/doc/28501
ER -

References

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  2. M. Kárný, A note on feeding uncertain knowledge into recursive least squares, In: Proc. 30th CDC, Brighton, U.K., 1991. (1991) 
  3. M. Kárný I. Nagy J. Böhm, A. Halousková, Design of spline-based self-tuners, Kybernetika 26 (1990), 1, 17-30. (1990) 
  4. M. Kárný A. Halousková, I.Nagy, Modelling, identification and adaptive control of crossdirection basis weight of paper sheets, Internat. Conf. CONTROL 88, Oxford 1988, pp. 159-164. (1988) 
  5. R. Kohn, G. Ansley, Equivalence between Bayesian smoothness priors and optimal smoothning for function estimation, In: Bayesian Analysis of Time Series and Dynamic Models (J. C. Spall, ed.), Marcel Dekker, New York 1988, pp. 393-430. (1988) 
  6. N. P. Kornejčuk, Splajny v teorii aproximacii, Nauka, Moskva 1984. (1984) 
  7. L. Ljung, T. Söderström, Theory and Practice of Recursive Identification, MIT Press, Mass. 1983. (1983) MR0719192
  8. V. Peterka, Bayesian approach to system identification, In: Trends and Progress in System Identification (P. Eykhoff, ed.), Pergamon Press, Oxford 1981, pp. 239-304. (1981) MR0746139

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