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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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • 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

  • 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