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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
doaj   +4 more sources

Non-Stationary Dynamic Mode Decomposition [PDF]

IEEE Access, 2023
Many physical processes display complex high-dimensional time-varying behavior, from global weather patterns to brain activity. An outstanding challenge is to express high dimensional data in terms of a dynamical model that reveals their spatiotemporal ...
John Ferre, Ariel Rokem, Elizabeth A. Buffalo, J. Nathan Kutz, Adrienne Fairhall   +4 more
doaj   +2 more sources

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, S. Reinhardt, M. Hlawatsch, B. Eberhardt, D. Weiskopf   +4 more
doaj   +3 more sources

Real-time motion detection using dynamic mode decomposition [PDF]

EURASIP Journal on Image and Video Processing
Dynamic mode decomposition (DMD) is a numerical method that seeks to fit time-series data to a linear dynamical system. In doing so, DMD decomposes dynamic data into spatially coherent modes that evolve in time according to exponential growth/decay or ...
Marco Mignacca, Simone Brugiapaglia, Jason J. Bramburger   +2 more
doaj   +2 more sources

Moving Target Detection Using Dynamic Mode Decomposition [PDF]

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, Bing Liu, Guangping Zhu, Zhinan Xie   +3 more
doaj   +2 more sources

Personalized prediction of gait freezing using dynamic mode decomposition [PDF]

Scientific Reports
Freezing of gait (FoG) is a common severe gait disorder in patients with advanced Parkinson’s disease. The ability to predict the onset of FoG episodes early on allows for timely intervention, which is essential for improving the life quality of patients.
Zhiwen Fu, Congping Lin, Yiwei Zhang
doaj   +2 more sources

Camera-Based Dynamic Vibration Analysis Using Transformer-Based Model CoTracker and Dynamic Mode Decomposition [PDF]

Sensors
Accelerometers are commonly used to measure vibrations for condition monitoring in mechanical and civil structures; however, their high cost and point-based measurement approach present practical limitations.
Liangliang Cheng, Justin de Groot, Kun Xie, Yanxin Si, Xiaodong Han   +4 more
doaj   +2 more sources

Dynamic Mode Decomposition of Fast Pressure Sensitive Paint Data [PDF]

Sensors, 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 ...
Mohd Y. Ali, Anshuman Pandey, James W. Gregory   +2 more
doaj   +2 more sources

Challenges in Dynamic Mode Decomposition [PDF]

Journal of the Royal Society Interface, 2021
Shai Revzen, Steven Brunton, Ziyou Wu
exaly   +2 more sources

Proper Orthogonal and Dynamic Mode Decomposition of Sunspot Data [PDF]

Philosophical Transactions Series A, Mathematical, Physical, and Engineering Sciences, 2021
Jonathan Higham, Wernher Brevis, Viktor Fedun   +2 more
exaly   +2 more sources