Information Amount Determination for Joint Problem of Filtering and Generalized Extrapolation of Stochastic Processes with Respect to the Set of Continuous and Discrete Memory Observations; Informatica; Vol. 14, Iss. 3

Detalhes bibliográficos
Parent link:Informatica.— , 2003
Vol. 14, Iss. 3.— 2003.— P. 295-322
Autor principal: Dyomin N. S. Nikolas S.
Autor Corporativo: Национальный исследовательский Томский политехнический университет (ТПУ) Физико-технический институт (ФТИ) Кафедра высшей математики (ВМ)
Outros Autores: Safronova I. E. Irina E., Rozhkova S. V. Svetlana Vladimirovna
Resumo:This paper considers an information aspect of the problem of the joint filtering and generalized extrapolation, when the output of observation channels (data transmission) is the realizations set of the processes with continuous and discrete time, which depend on both the current and the past values of unobservable process (useful signal). The relations defining time evolution of Shannon information are obtained. The particular problems of the memory channels information efficiency and optimal transmission of stochastic processes, with applying the general results are considered.
В фонде НТБ ТПУ отсутствует
Idioma:russo
Publicado em: 2003
Assuntos:
Formato: Capítulo de Livro
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=601964

MARC

LEADER 00000naa0a2200000 4500
001 601964
005 20250224091926.0
035 |a (RuTPU)RU\TPU\tpu\27171 
090 |a 601964 
100 |a 20150424d2003 k||y0rusy50 ca 
101 0 |a rus 
102 |a RU 
200 1 |a Information Amount Determination for Joint Problem of Filtering and Generalized Extrapolation of Stochastic Processes with Respect to the Set of Continuous and Discrete Memory Observations  |f N. S. Dyomin, I. E. Safronova, S. V. Rozhkova 
320 |a Reference: 25 tit. 
330 |a This paper considers an information aspect of the problem of the joint filtering and generalized extrapolation, when the output of observation channels (data transmission) is the realizations set of the processes with continuous and discrete time, which depend on both the current and the past values of unobservable process (useful signal). The relations defining time evolution of Shannon information are obtained. The particular problems of the memory channels information efficiency and optimal transmission of stochastic processes, with applying the general results are considered. 
333 |a В фонде НТБ ТПУ отсутствует 
461 |t Informatica  |d 2003 
463 |t Vol. 14, Iss. 3  |v P. 295-322  |d 2003 
610 1 |a труды учёных ТПУ 
700 1 |a Dyomin  |b N. S.  |g Nikolas S. 
701 1 |a Safronova  |b I. E.  |g Irina E. 
701 1 |a Rozhkova  |b S. V.  |c mathematician  |c Professor of Tomsk Polytechnic University, Doctor of Physical and Mathematical Sciences  |f 1971-  |g Svetlana Vladimirovna  |3 (RuTPU)RU\TPU\pers\34139  |9 17679 
712 0 2 |a Национальный исследовательский Томский политехнический университет (ТПУ)  |b Физико-технический институт (ФТИ)  |b Кафедра высшей математики (ВМ)  |3 (RuTPU)RU\TPU\col\18728 
801 1 |a RU  |b 63413507  |c 20150424 
801 2 |a RU  |b 63413507  |c 20150424  |g RCR 
942 |c CR