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

Detalhes bibliográficos
Parent link:	Control and Communications (SIBCON).— 2016.— [6 p.]
Autor Corporativo:	Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра вычислительной техники (ВТ)
Outros Autores:	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
Resumo:	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.
Idioma:	inglês
Publicado em:	2016
Assuntos:	электронный ресурс труды учёных ТПУ фильтрация память стохастический подход наблюдение
Acesso em linha:	http://dx.doi.org/10.1109/SIBCON.2016.7491866
Formato:	Recurso Electrónico Capítulo de Livro
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=648823

Descrição
Resumo:	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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