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Detail publikačního výsledku
KUNZ, J.
Originální název
An Allana Variance Computation from Very Large Datasets
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
Originální abstrakt
This paper deals with calculating an Allan variance from a large datasets, which does not fit into a RAM memory. For this reason a parallel method is implemented in LabVIEW 2015 and tested on four different configurations of personal computer. An execution time was measured for a dataset of 2 754 448 000 samples. The time varies in dependence on calculated samples and the configuration of the computer. For the faster computers execution takes several minutes, whereas on the slower one the longest tested calculation of 100 samples per decade takes about two hours, which is still practical.
Anglický abstrakt
Klíčová slova
Allan variance, large file, MEMS, gyroscope
Klíčová slova v angličtině
Autoři
Rok RIV
2019
Vydáno
26.04.2018
Místo
Brno
ISBN
978-80-214-5614-3
Kniha
Proceedings of the 24 th Conference STUDENT EEICT 2018
Strany od
363
Strany do
367
Strany počet
5
BibTex
@inproceedings{BUT147184, author="Jan {Kunz}", title="An Allana Variance Computation from Very Large Datasets", booktitle="Proceedings of the 24 th Conference STUDENT EEICT 2018", year="2018", pages="363--367", address="Brno", isbn="978-80-214-5614-3" }
Dokumenty
EEICT_Kunz