Real-Time Recovery of Functions and their Derivatives by Variation Splines

Bibliographic Details
Parent link:Key Engineering Materials: Scientific Journal
Vol. 685 : High Technology: Research and Applications 2015 (HTRA 2015).— 2016.— [P. 920-924]
Main Author: Kochegurova E. A. Elena Alekseevna
Corporate Author: Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра автоматики и компьютерных систем (АИКС)
Other Authors: Gorokhova E. S.
Summary:Title screen
A method of modeling derivatives in a real-time non-stationary process is proposed. This concept is based on approximation of variation smoothing splines. A recurrent estimation formula for parameters of a spline where the number of measurements of every segment is higher than the number of node is given. Dependence between accuracy of estimations of derivatives and values of the spline parameters is studied. Optimal values of parameters are found.
Режим доступа: по договору с организацией-держателем ресурса
Language:English
Published: 2016
Series:Information Technology, Data and Signal Processing
Subjects:
Online Access:http://dx.doi.org/10.4028/www.scientific.net/KEM.685.920
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=646572

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