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APPLIED MATHEMATICAL SCIENCES ISSN 1312-885X (print) ISSN 1314-7552 (online) |
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O. V. Chernoyarov, Sai Si Thu Min, Yu. A. Guseva, B. I. Shakhtarin, A. A. Artemenko Application of the local Markov approximation method for the analysis of information processes processing algorithms with unknown discontinuous parameters under violation of the consistency property of their estimates Applied Mathematical Sciences, Vol. 8, 2014, no. 126, 6267-6294 http://dx.doi.org/10.12988/ams.2014.48620 Copyright © 2014 O. V. Chernoyarov, Sai Si Thu Min, Yu. A. Guseva, B. I. Shakhtarin and A. A. Artemenko. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Cited by (3): Alexandra V. Salnikova, Oleg V. Chernoyarov, Leila A. Golpayegani, Michal Kuba, The comparative analysis of estimates of the time discontinuous parameter of the random pulse synthesized using Bayesian and maximum likelihood approaches, ELEKTRO, 2016. IEEE, 2016 [CrossRef] O. V. Chernoyarov, A. V. Salnikova, S. Dachian, D. N. Shepelev, Adaptive Detection and Time and Power Parameters Estimation of the Low-Frequency Random Pulse with Inexactly Known Duration against White and Correlated Hindrances, Applied Mathematical Sciences, 9 (2015), no. 2, 83-105 [CrossRef] Oleg V. Chernoyarov, Ekaterina A. Lysina, Mariana Marcokova, Serguei Dachian, Statistical analysis of fast fluctuating random signals with arbitrary-function envelope under breach of consistency of discontinuous information parameter estimate, IEEE 2015 International Siberian Conference on Control and Communications (SIBCON), (2015) [CrossRef]
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