Depending on the amount of data to process, file generation may take longer.

If it takes too long to generate, you can limit the data by, for example, reducing the range of years.

Article

Download BibTeX

Title

Maximum time interval error assessment based on the sequential reducing data volume

Authors

[ 1 ] Instytut Elektroniki i Telekomunikacji (IEt), Wydział Elektryczny, Politechnika Poznańska | [ P ] employee

Year of publication

2002

Published in

IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control

Journal year: 2002 | Journal volume: vol. 49 | Journal number: iss. 7

Article type

scientific article

Publication language

english

Abstract

EN This paper deals with the problem of efficient assessment of maximum time interval error (MTIE) for a series of observation intervals. The method expands the concept of the extreme fix method, which also is briefly described. Then the idea of the extreme fix with sequential data reducing method of MTIE estimate calculation is thoroughly developed. The mechanism of sequential reducing data volume is explained. The time efficiency of the method proposed is evaluated through comparison of the time taken to compute MTIE estimate by means of this method and the method resulting directly from the MTIE estimator formula (the direct method) as well as the extreme fix method of the MTIE estimate calculation. Distinctive performance of the method proposed is confirmed by the MTIE calculation experiment.

Pages (from - to)

987 - 994

DOI

10.1109/TUFFC.2002.1020169

URL

https://ieeexplore.ieee.org/document/1020169

This website uses cookies to remember the authenticated session of the user. For more information, read about Cookies and Privacy Policy.