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Simon Herter, Sargon Youssef, Michael M. Becker et al.

Machine Learning Based Preprocessing to Ensure Validity of Cross-Correlated Ultrasound Signals for Time-of-Flight Measurements

Published in: Journal of nondestructive evaluation 40, 1, 6.2.2021, date:3.2021

Title	Machine Learning Based Preprocessing to Ensure Validity of Cross-Correlated Ultrasound Signals for Time-of-Flight Measurements
Involved	Simon Herter (Verfasser) Sargon Youssef (Verfasser) Michael M. Becker (Verfasser) Sarah Christine Fischer (Verfasser) SpringerLink (Online service) (Sonstige)
Published in	Journal of nondestructive evaluation 40, 1, 6.2.2021, date:3.2021, Seite 1-9
Published	2021
Language	Englisch
Country	Deutschland
Topic	Physik
Subject	Solid Mechanics. Characterization and Evaluation of Materials. Vibration, Dynamical Systems, Control. Classical Mechanics.
DDC notation	530.413
Persistent identifier	urn:nbn:de:101:1-2021050912310087960878 (URN) 10.1007/s10921-020-00745-7 (DOI)
Record ID	123315074X

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Machine Learning Based Preprocessing to Ensure Validity of Cross-Correlated Ultrasound Signals for Time-of-Flight Measurements