Continuously discrete estimation of stochastic processes for observations with memory under anomalous noise: Synthesis; Journal of Computer and Systems Sciences International; Vol. 39, Iss. 3

Continuously discrete estimation of stochastic processes for observations with memory under anomalous noise: Synthesis; Journal of Computer and Systems Sciences International; Vol. 39, Iss. 3

Detalles Bibliográficos
Parent link:Journal of Computer and Systems Sciences International.— , 2000
Vol. 39, Iss. 3.— 2000.— P. 335-346
Autor principal: Dyomin N. S. Nikolas S.
Autor Corporativo: Национальный исследовательский Томский политехнический университет (ТПУ) Физико-технический институт (ФТИ) Кафедра высшей математики (ВМ)
Otros Autores: Rozhkova S. V. Svetlana Vladimirovna
Sumario:An mean square optimal unbiased filter-interpolator-extrapolator for continuous-time processes is synthesized on the basis of the set of realizations of continuous and discrete time processes. It is supposed that these processes depend not only on the current values of an unobserved process, but on an arbitrary number of its preceding values as well; the extrapolation is performed at an arbitrary number of future instants, and anomalous noise occurs in discrete observations.
В фонде НТБ ТПУ отсутствует
Lenguaje:ruso
Publicado: 2000
Materias:
труды учёных ТПУ
Formato: Capítulo de libro
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=601970

Ejemplares similares

Ejemplares similares