Filtering for Stochastic Systems in the Case of Continuous Observation Channels with Memory of Arbitrary Multiplicity and Anomalous Noise; Control and Communications (SIBCON)

Filtering for Stochastic Systems in the Case of Continuous Observation Channels with Memory of Arbitrary Multiplicity and Anomalous Noise; Control and Communications (SIBCON)

Podrobná bibliografie
Parent link:Control and Communications (SIBCON).— 2016.— [6 p.]
Korporativní autor: Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра вычислительной техники (ВТ)
Další autoři: Natalinova N. M. Nataliya Mikhailovna, Rozhkova O. V. Olga Vladimirovna, Moldovanova E. A. Evgeniya Aleksandrovna, Iljina N. L. Nataljya Lavrentjevna, Demin N. S. Nikolay Serapionovich
Shrnutí:Title screen
In the paper the optimal in the mean-square senseunbiased filter is developed. We focused on the case of theobservation channel with memory and anomalous noises withunknown mean. A proof of the optimality criterion is presented.
Jazyk:angličtina
Vydáno: 2016
Témata:
электронный ресурс
труды учёных ТПУ
фильтрация
память
стохастический подход
наблюдение
On-line přístup:http://dx.doi.org/10.1109/SIBCON.2016.7491866
Médium: Elektronický zdroj Kapitola
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=648823
Popis
Shrnutí:Title screen
In the paper the optimal in the mean-square senseunbiased filter is developed. We focused on the case of theobservation channel with memory and anomalous noises withunknown mean. A proof of the optimality criterion is presented.
DOI:10.1109/SIBCON.2016.7491866

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