Results 11 to 20 of about 287,879 (312)

Multiresolution Dynamic Mode Decomposition [PDF]

SIAM Journal on Applied Dynamical Systems, 2016
Summary: We demonstrate that the integration of the recently developed dynamic mode decomposition (DMD) with a multiresolution analysis allows for a decomposition method capable of robustly separating complex systems into a hierarchy of multiresolution time-scale components. A one-level separation allows for background (low-rank) and foreground (sparse)
Kutz, J. Nathan, Fu, Xing, Brunton, Steven L.   +2 more
openaire   +4 more sources

Higher Order Dynamic Mode Decomposition [PDF]

SIAM Journal on Applied Dynamical Systems, 2017
This paper deals with an extension of dynamic mode decomposition (DMD), which is appropriate to treat general periodic and quasi-periodic dynamics, and transients decaying to periodic and quasiperiodic attractors, including cases (not accessible to standard DMD) that show limited spatial complexity but a very large number of involved frequencies.
Le Clainche Martínez, Soledad, Vega De Prada, Jose Manuel   +1 more
openaire   +5 more sources

Application of noise-filtering techniques to data-driven analysis of electric power systems based on higher-order dynamic mode decomposition

International Journal of Electrical Power & Energy Systems, 2023
A transition to renewable energy is increasing the long-distance export of power, with reduced spinning inertia and small stability margins. In this work, we apply higher-order variants of a data-driven technique, the dynamic mode decomposition (DMD ...
C.N.S. Jones, S.V. Utyuzhnikov
doaj   +2 more sources

Dynamic Mode Decomposition for Compressive System Identification [PDF]

AIAA Journal, 2020
Dynamic mode decomposition has emerged as a leading technique to identify spatiotemporal coherent structures from high-dimensional data, benefiting from a strong connection to nonlinear dynamical systems via the Koopman operator.
Bai, Zhe, Brunton, Steven L, Kaiser, Eurika, Kutz, J Nathan, Proctor, Joshua L   +4 more
core   +5 more sources

Sparsity-promoting dynamic mode decomposition [PDF]

Physics of Fluids, 2013
International audienceDynamic mode decomposition (DMD) represents an effective means for capturing the essential features of numerically or experimentally generated flow fields.
Hassan Y., Joseph W. Nichols, Kakac S., Lumley J., Mihailo R. Jovanović, Peter J. Schmid   +5 more
core   +7 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

Phonocardiogram Classification Using Dynamic Mode Decomposition for Heterogeneity-Resilient Training

IEEE Open Journal of Instrumentation and Measurement
Medical measurements of the heart, such as a phonocardiogram (PCG), provide a noninvasive means for diagnosing valvular heart diseases. Recently, deep learning has shown great success in the classification of PCG.
Ebrahim A. Nehary, Sreeraman Rajan
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

On dynamic mode decomposition: Theory and applications

Journal of Computational Dynamics, 2014
Originally introduced in the fluid mechanics community, dynamic mode decomposition (DMD) has emerged as a powerful tool for analyzing the dynamics of nonlinear systems. However, existing DMD theory deals primarily with sequential time series for which the measurement dimension is much larger than the number of measurements taken.
Tu, Jonathan H., Rowley, Clarence W., Luchtenburg, Dirk M., Brunton, Steven L., Kutz, J. Nathan   +4 more
openaire   +5 more sources