Dynamical patterns in gene expression profile after Influenza A virus (IAV) injection: A dynamic mode decomposition approach [PDF]
, 2022 semba SJ, Yang H.
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Dynamic mode decomposition based Doppler monitoring of de novo cavitation induced by pulsed HIFU: an in vivo feasibility study. [PDF]
Sci RepSong M +6 more
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Image segmentation and separation of spectrally similar dyes in fluorescence microscopy by dynamic mode decomposition of photobleaching kinetics. [PDF]
BMC Bioinformatics, 2022 Wüstner D.
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Regularized dynamic mode decomposition algorithm for time sequence predictions
Theoretical and Applied Mechanics LettersDynamic mode decomposition (DMD) aims at extracting intrinsic mechanisms in a time sequence via linear recurrence relation of its observables, thereby predicting later terms in the sequence. Stability is a major concern in DMD predictions.
Xiaoyang Xie, Shaoqiang Tang
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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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Large Eddy Simulation and Dynamic Mode Decomposition of Turbulent Mixing Layers
Applied Sciences, 2021 Turbulent mixing layers are canonical flow in nature and engineering, and deserve comprehensive studies under various conditions using different methods. In this paper, turbulent mixing layers are investigated using large eddy simulation and dynamic mode
Yuwei Cheng, Qian Chen
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Constrained Dynamic Mode Decomposition
IEEE Transactions on Visualization and Computer Graphics, 2022 Frequency-based decomposition of time series data is used in many visualization applications. Most of these decomposition methods (such as Fourier transform or singular spectrum analysis) only provide interaction via pre- and post-processing, but no means to influence the core algorithm.
Tim, Krake +3 more
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Towards an Adaptive Dynamic Mode Decomposition
Results in Control and Optimization, 2022 Dynamic Mode Decomposition (DMD) is a tool that creates an approximate model from spatio-temporal data. We have developed an architecture of this tool that will adapt to the data from a given problem by leveraging time delay coordinates, projections, and
Mohammad N. Murshed, M. Monir Uddin
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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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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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