Dynamic Mode Decompositions of Phonation Onset – Comparison of Different Methods
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F22%3A00361646" target="_blank" >RIV/68407700:21220/22:00361646 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.14311/TPFM.2022.024" target="_blank" >https://doi.org/10.14311/TPFM.2022.024</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.14311/TPFM.2022.024" target="_blank" >10.14311/TPFM.2022.024</a>
Alternative languages
Result language
angličtina
Original language name
Dynamic Mode Decompositions of Phonation Onset – Comparison of Different Methods
Original language description
Four dynamic mode decomposition (DMD) methods are used to analyze a simulation of the phonation onset carried out by in-house solver based on the finite element method. The dataset consists of several last periods of the flow-induced vibrations of vocal folds (VFs). The DMD is a data-driven and model-free method typically used for finding a low-rank representation of a high-dimensional system. In general, the DMD decomposes a given dataset to modes with mono-frequency content and associated complex eigenvalues providing the growth/decay rate that allows a favourable physical interpretation and in some cases also a short-term prediction of system behaviour. The disadvantages of the standard DMD are non- orthogonal modes and sensitivity to an increased noise level which are addressed by following DMD variants. The recursive DMD (rDMD) is an iterative DMD decomposition producing orthogonal modes. The total least-square DMD and the higher order DMD (hoDMD) are methods substantially reducing a high DMD sensitivity to noise. All methods identified very similar DMD modes as well as frequency spectra. Substantial difference was found in the real part of the spectra. The final dataset reconstruction is the most accurate in the case of the recursive variant. The higher order DMD method also outperforms the standard DMD. Thus the rDMD and the hoDMD decompositions are promising to be used further for the parametrization of a VF motion.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10102 - Applied mathematics
Result continuities
Project
<a href="/en/project/EF16_019%2F0000778" target="_blank" >EF16_019/0000778: Center for advanced applied science</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Topical Problems of Fluid Mechanics 2022
ISBN
978-80-87012-77-2
ISSN
2336-5781
e-ISSN
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Number of pages
9
Pages from-to
181-189
Publisher name
Ústav termomechaniky AV ČR, v. v. i.
Place of publication
Praha
Event location
Praha
Event date
Feb 16, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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