About structure of Shannon information amount for joint filtering and extrapolation problem by continuous-discrete memory observations

Nikolas Dyomin, Irina Safronova, Svetlana Rozhkova

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

In this paper on basis of the results (Dyomin et al., 2003a) the structure of Shannon information amount in the joint filtering and extrapolation problem of the stochastic processes by continuous-discrete time memory observations is investigated. For particular class of processes with applying of the general results the problem of optimal transmission over the lag channels is considered and efficiency of filtering and extrapolation receptions under transmission over channels with memory or lag is investigated.

Original languageEnglish
Pages (from-to)171-202
Number of pages32
JournalInformatica
Volume15
Issue number2
Publication statusPublished - 2004

Fingerprint

Extrapolation
Filtering
Data storage equipment
Random processes
Stochastic Processes
Discrete-time
Observation
Class

Keywords

  • Extrapolation
  • Filtering
  • Information amount
  • Memory
  • Signal processing

ASJC Scopus subject areas

  • Information Systems
  • Applied Mathematics

Cite this

About structure of Shannon information amount for joint filtering and extrapolation problem by continuous-discrete memory observations. / Dyomin, Nikolas; Safronova, Irina; Rozhkova, Svetlana.

In: Informatica, Vol. 15, No. 2, 2004, p. 171-202.

Research output: Contribution to journalArticle

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