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Document type:: Konferenzbeitrag
Author(s):: Seeber, B.U.; Andreisek, G.
Title:: Improving defect detection in wind turbine blades with psychoacoustic means and prediction models
Pages contribution:: 7720
Editor:: Martin Ochmann, Michael Vorländer, Janina Fels
Book / Congress title:: Proc. 23rd International Congress on Acoustics, integrating 4th EAA Euroregio 2019
Organization:: Deutsche Ges. für Akustik e.V. (DEGA)
Year:: 2019
Month:: Sep
Print-ISBN:: 978-3-939296-15-7
TUM Institution:: Professur für Audio-Signalverarbeitung
BibTeX

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mediaTUM Gesamtbestand Einrichtungen Schools TUM School of Computation, Information and Technology Departments Computer Engineering Audio-Signalverarbeitung (Prof. Seeber)Author Andreisek

mediaTUM Gesamtbestand Einrichtungen Schools TUM School of Computation, Information and Technology Departments Computer Engineering Audio-Signalverarbeitung (Prof. Seeber)Publication Year 2019

mediaTUM Gesamtbestand Einrichtungen Schools TUM School of Computation, Information and Technology Departments Computer Engineering Audio-Signalverarbeitung (Prof. Seeber)

mediaTUM Gesamtbestand Einrichtungen Schools TUM School of Computation, Information and Technology Departments Computer Engineering Audio-Signalverarbeitung (Prof. Seeber)Publication Type Congress Contribution

mediaTUM Gesamtbestand Einrichtungen Schools TUM School of Computation, Information and Technology Departments Computer Engineering Audio-Signalverarbeitung (Prof. Seeber)Author Seeber

mediaTUM Gesamtbestand Hochschulbibliographie 2019 Fakultäten Elektrotechnik und Informationstechnik Audio-Signalverarbeitung (Prof. Seeber)