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

Bibliografski detalji
Parent link:Key Engineering Materials: Scientific Journal
Vol. 685 : High Technology: Research and Applications 2015 (HTRA 2015).— 2016.— [P. 920-924]
Glavni autor: Kochegurova E. A. Elena Alekseevna
Autor kompanije: Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра автоматики и компьютерных систем (АИКС)
Daljnji autori: Gorokhova E. S.
Sažetak: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
Jezik:engleski
Izdano: 2016
Serija:Information Technology, Data and Signal Processing
Teme:
Online pristup:http://dx.doi.org/10.4028/www.scientific.net/KEM.685.920
Format: Elektronički Poglavlje knjige
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=646572
Opis
Sažetak: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
Digitalni identifikator objekta:10.4028/www.scientific.net/KEM.685.920