Results 41 to 50 of about 3,075 (261)
Dynamic Mode Decomposition Based Video Shot Detection
IEEE Access, 2018 Shot detection is widely used in video semantic analysis, video scene segmentation, and video retrieval. However, this is still a challenging task, due to the weak boundary and a sudden change in brightness or foreground objects.
Chongke Bi +6 more
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Moving Target Detection Using Dynamic Mode Decomposition
Sensors, 2018 It is challenging to detect a moving target in the reverberant environment for a long time. In recent years, a kind of method based on low-rank and sparse theory was developed to study this problem.
Jingwei Yin +3 more
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Identification of Linear Time-Invariant Systems with Dynamic Mode Decomposition
Mathematics, 2022 Dynamic mode decomposition (DMD) is a popular data-driven framework to extract linear dynamics from complex high-dimensional systems. In this work, we study the system identification properties of DMD.
Jan Heiland, Benjamin Unger
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Tensor Train-Based Higher-Order Dynamic Mode Decomposition for Dynamical Systems
Mathematics, 2023 Higher-order dynamic mode decomposition (HODMD) has proved to be an efficient tool for the analysis and prediction of complex dynamical systems described by data-driven models.
Keren Li, Sergey Utyuzhnikov
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Dynamic mode decomposition of numerical data in natural circulation
Brazilian Journal of Radiation Sciences, 2021 Dynamic mode decomposition (DMD) has been used for experimental and numerical data analysis in fluid dynamics. Despite of its advantages, the application of the DMD methodology to investigate the natural circulation in nuclear reactors are very scarce in
José Luiz Horacio Faccini
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Delay-Embedding Spatio-Temporal Dynamic Mode Decomposition
MathematicsSpatio-temporal dynamic mode decomposition (STDMD) is an extension of dynamic mode decomposition (DMD) designed to handle spatio-temporal datasets. It extends the framework so that it can analyze data that have both spatial and temporal variations.
Gyurhan Nedzhibov
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Automatic Seizure Detection Using Multi-Resolution Dynamic Mode Decomposition
IEEE Access, 2019 Epilepsy is one of the most prevalent neurological issues faced by a large population around the globe. Epilepsy is marked by intermittent seizures, the detection of which can be a challenging problem.
Muhammad Bilal +5 more
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Multiplicative Dynamic Mode Decomposition
SIAM Journal on Applied Dynamical Systems24 pages, 13 figures.
Nicolas Boullé, Matthew J. Colbrook
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Analyzing Nonlinear Dynamics via Data-Driven Dynamic Mode Decomposition-Like Methods
Complexity, 2018 This article presents a review on two methods based on dynamic mode decomposition and its multiple applications, focusing on higher order dynamic mode decomposition (which provides a purely temporal Fourier-like decomposition) and spatiotemporal Koopman ...
Soledad Le Clainche, José M. Vega
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Physics-informed dynamic mode decomposition
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2023 In this work, we demonstrate how physical principles—such as symmetries, invariances and conservation laws—can be integrated into the dynamic mode decomposition (DMD). DMD is a widely used data analysis technique that extracts low-rank modal structures and dynamics from high-dimensional ...
Peter J. Baddoo +4 more
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