Results 21 to 30 of about 47,248 (288)
Dynamic Mode Decomposition of Fast Pressure Sensitive Paint Data. [PDF]
Sensors (Basel), 2016 Fast-response pressure sensitive paint (PSP) is used in this work to measure and analyze the acoustic pressure field in a rectangular cavity. The high spatial resolution and fast frequency response of PSP effectively captures the spatial and temporal ...
Ali MY, Pandey A, Gregory JW.
europepmc +2 more sources
Computers and Fluids, 2012 In this paper, Proper Orthogonal Decomposition (POD) and Dynamic Mode Decomposition (DMD) are used to extract the most dominant flow structures of a simulated flow in the wake of a high-speed train model, the Aerodynamic Train Model (ATM).
Gunilla Efraimsson, Dan S Henningson
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Application of the dynamic mode decomposition to experimental data
Experiments in Fluids, 2011 International audienceThe dynamic mode decomposition (DMD) is a data-decomposition technique that allows the extraction of dynamically relevant flow features from time-resolved experimental (or numerical) data. It is based on a sequence of snapshots from
Peter J Schmid
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Proper orthogonal and dynamic mode decomposition of sunspot data [PDF]
Philosophical Transactions Series A, Mathematical, Physical, and Engineering Sciences, 2021 A B Albidah, W Brevis, V Fedun
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The kernel perspective on dynamic mode decomposition
Trans. Mach. Learn. Res., 2023 This manuscript revisits theoretical assumptions concerning dynamic mode decomposition (DMD) of Koopman operators, including the existence of lattices of eigenfunctions, common eigenfunctions between Koopman operators, and boundedness and compactness of ...
Jury, Michael +4 more
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Singular Dynamic Mode Decomposition
SIAM Journal on Applied Dynamical Systems, 2023 11 pages. YouTube playlist supporting this manuscript can be found here: https://youtube.com/playlist?list=PLldiDnQu2phsZdFP3nHoGnk_Aq ...
Joel A. Rosenfeld +1 more
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Dynamic-mode decomposition and optimal prediction [PDF]
Physical Review E, 2021 The Dynamic-Mode Decomposition (DMD) is a well established data-driven method of finding temporally evolving linear-mode decompositions of nonlinear time series. Traditionally, this method presumes that all relevant dimensions are sampled through measurement.
Christopher W. Curtis +1 more
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Dynamic mode decomposition with memory
Physical Review E, 2023 This study proposed a numerical method of dynamic mode decomposition with memory (DMDm) to analyze multidimensional time-series data with memory effects. The memory effect is a widely observed phenomenon in physics and engineering and is considered to be the result of interactions between the system and environment.
Anzaki, Ryoji +4 more
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Visualization and selection of Dynamic Mode Decomposition components for unsteady flow
Visual Informatics, 2021 Dynamic Mode Decomposition (DMD) is a data-driven and model-free decomposition technique. It is suitable for revealing spatio-temporal features of both numerically and experimentally acquired data.
T. Krake +4 more
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Consistent Dynamic Mode Decomposition [PDF]
SIAM Journal on Applied Dynamical Systems, 2019 We propose a new method for computing Dynamic Mode Decomposition (DMD) evolution matrices, which we use to analyze dynamical systems. Unlike the majority of existing methods, our approach is based on a variational formulation consisting of data alignment penalty terms and constitutive orthogonality constraints.
Omri Azencot +2 more
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