Filtering for stochastic systems in the case of continuous observation channels with memory of arbitrary multiplicity and anomalous noise

Результат исследований: Материалы для книги/типы отчетовМатериалы для конференции

3 Цитирования (Scopus)

Аннотация

In the paper the optimal in the mean-square sense unbiased filter is developed. We focused on the case of the observation channel with memory and anomalous noises with unknown mean. A proof of the optimality criterion is presented.

Язык оригиналаАнглийский
Название основной публикации2016 International Siberian Conference on Control and Communications, SIBCON 2016 - Proceedings
ИздательInstitute of Electrical and Electronics Engineers Inc.
ISBN (электронное издание)9781467383837
DOI
СостояниеОпубликовано - 14 июн 2016
Событие2016 International Siberian Conference on Control and Communications, SIBCON 2016 - Moscow, Российская Федерация
Продолжительность: 12 мая 201614 мая 2016

Другое

Другое2016 International Siberian Conference on Control and Communications, SIBCON 2016
СтранаРоссийская Федерация
ГородMoscow
Период12.5.1614.5.16

    Fingerprint

ASJC Scopus subject areas

  • Signal Processing
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Modelling and Simulation
  • Computer Networks and Communications

Цитировать

Natalinova, N. M., Rozhkova, O. V., Moldovanova, E. A., Ilina, N. L., & Demin, N. S. (2016). Filtering for stochastic systems in the case of continuous observation channels with memory of arbitrary multiplicity and anomalous noise. В 2016 International Siberian Conference on Control and Communications, SIBCON 2016 - Proceedings [7491866] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIBCON.2016.7491866