Recurrent Estimation of Information Streams Parameters on a Sliding Sample of Constant Volume

Autor:	Y. P. Kulyabichev, N. A. Kritsyna, R. V. Konovalov
Jazyk:	English<br />Russian
Rok vydání:	2010
Předmět:	security storage of information non-stationary time series estimation of parameters of time series method of least squares Information technology T58.5-58.64 Information theory Q350-390
Zdroj:	Безопасность информационных технологий, Vol 17, Iss 3, Pp 47-52 (2010)
Druh dokumentu:	article
ISSN:	2074-7128 2074-7136
Popis:	Volume reduction of storing the data is one of the ways to increase the safety of information streams storage. Thus arising problem of formal representation of the data flow is shown in the form of a problem of identification of a time row with the non-stationary parameters which estimation should be carried out on a sliding sample of constant volume. In this work the recurrent method of a time row non-stationary parameters estimation is offered which, on the one hand, allows to carry out parameters estimation procedure in an «on-line» mode, and on the other hand, is essential to simplify computing procedures.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/9293cf42508f4723a180033415a36e89 Zobrazit plný text záznamu View record in DOAJ