Analysis of Filtering in Stochastic Systems on Continuous-Time Memory Observations in the Presence of Anomalous Noises; International Journal of Mathematical, Computational, Natural and Physical Engineering; Vol. 9, iss. 5

Bibliographic Details
Parent link:	International Journal of Mathematical, Computational, Natural and Physical Engineering.— , 2015 Vol. 9, iss. 5.— 2015.— [P. 238-241]
Corporate Author:	Национальный исследовательский Томский политехнический университет (ТПУ) Физико-технический институт (ФТИ) Кафедра высшей математики (ВМ)
Other Authors:	Rozhkova S. V. Svetlana Vladimirovna, Rozhkova O. V. Olga Vladimirovna, Kharlova A. N. Alexandra Nikolaevna, Lasukov V. V. Vladimir Vasilievich
Summary:	Title screen For optimal unbiased filter as mean-square and in the case of functioning anomalous noises in the observation memory channel, we have proved insensitivity of filter to inaccurate knowledge of the anomalous noise intensity matrix and its equivalence to truncated filter plotted only by non anomalous components of an observation vector.
Language:	English
Published:	2015
Subjects:	электронный ресурс труды учёных ТПУ Mathematical expectation filtration anomalous noise memory
Online Access:	http://waset.org/publications/10001143
Format:	Electronic Book Chapter
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=641768

Internet

http://waset.org/publications/10001143