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Mit der Verwendung von Sensordaten aus mehreren Quellen entsteht oft die Notwendigkeit einer Synchronisierung der entstandenen Messreihen. Ein Standardverfahren dazu ist die Kreuzkorrelation, die jedoch übereinstimmende Zeitstempel voraussetzt und empfindlich gegenüber Ausreißern reagiert. In diesem Paper wird daher ein alternativer Algorithmus für die Synchronisierung von Ereignis-basierten Zeitreihendaten vorgestellt.
With the use of sensor data from multiple sources, the need for synchronization of the resulting measurement series often arises. A standard method for this is cross-correlation, but this requires matching timestamps and is sensitive to outliers. This paper therefore presents an alternative algorithm for the synchronization of event-based time series data.
info:eu-repo/classification/ddc/Unterhaltung, Synchronisierung, info:eu-repo/classification/ddc/790 Sport, ddc:790 Sport, Ereignis-basierte Zeitreihendaten, Synchronisierung, Kreuzkorrelation, info:eu-repo/classification/ddc/700 Künste & Freizeit und Erholung, ddc:Spiele, event-based time series data, synchronization, cross-correlation, info:eu-repo/classification/ddc/Spiele, ddc:700 Künste & Freizeit und Erholung, Zeitreihenanalyse, cross correlation, ddc:Unterhaltung, event-based time series, time synchronization, Kreuzkorrelation
info:eu-repo/classification/ddc/Unterhaltung, Synchronisierung, info:eu-repo/classification/ddc/790 Sport, ddc:790 Sport, Ereignis-basierte Zeitreihendaten, Synchronisierung, Kreuzkorrelation, info:eu-repo/classification/ddc/700 Künste & Freizeit und Erholung, ddc:Spiele, event-based time series data, synchronization, cross-correlation, info:eu-repo/classification/ddc/Spiele, ddc:700 Künste & Freizeit und Erholung, Zeitreihenanalyse, cross correlation, ddc:Unterhaltung, event-based time series, time synchronization, Kreuzkorrelation
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