Nearest advocate: a novel event-based time delay estimation algorithm for multi-sensor time-series data synchronization

Estimating time delays in event-based time-series is a crucial task in signal processing as it affects the data quality and is a prerequisite for many subsequent analyses. In particular, data acquired from wearable devices often suffer from a low timestamp precision or clock drift. Current state-of-...

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Vydané v:	EURASIP journal on advances in signal processing Ročník 2024; číslo 1; s. 46 - 24
Hlavní autori:	Schranz, Christoph, Mayr, Sebastian, Bernhart, Severin, Halmich, Christina
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cham Springer International Publishing 01.12.2024 Springer Springer Nature B.V SpringerOpen
Predmet:	Algorithms Clock drift Cross correlation Data acquisition Datasets Engineering Estimation Event-based time-series Information management Kernel cross-correlation Quantum Information Technology Run time (computers) Sensors Signal processing Signal,Image and Speech Processing Spintronics Synchronization Time delay estimation Time lag Time series Time synchronization Wearable technology Event-based time-series Clock drift Dynamic time warping Kernel cross-correlation Time delay estimation Synchronization Wearable devices Cross-correlation
ISSN:	1687-6180, 1687-6172, 1687-6180
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