Exploring and applying sparse regression in admittancebased TPA methods

Titel:: Exploring and applying sparse regression in admittancebased TPA methods
Dokumenttyp:: Konferenzbeitrag
Autor(en):: Ocepek, Domen; Trainotti, Francesco; Korbar, Jure; Rixen, Daniel J.; Boltezar, Miha; Cepon, Gregor
Kongress- / Buchtitel:: Proceedings of ISMA2024 International Conference on Noise and Vibration Engineering
Verlag / Institution:: Katholieke Universiteit Leuven Faculty of Engineering Department of Mechanical Engineering Division of Mecha(tro)nische SysteemDynamica (LMSD) Celestijnenlaan 300B, B-3001 Leuven (Heverlee), Belgium
Jahr:: 2024
Print-ISBN:: 978-90-82893-17-5
Reviewed:: nein
Sprache:: en
TUM Einrichtung:: Lehrstuhl f. Angewandte Mechanik
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