Results 1 to 10 of about 1,877 (198)

DMD-T: Thermographic Inspection of Composites using Dynamic Mode Decomposition [PDF]

open access: yes2023 5th International Conference on Industrial Artificial Intelligence (IAI), 2023
In the realm of Non-Destructive Testing (NDT) of fibre reinforced polymers, InfraRed Thermography (IRT) serves as a valuable tool for diagnosis. Various processing techniques, such as principal component analysis, Fourier transformation, and thermographic signal reconstruction, are commonly utilized to improve the identification of defects.
Yunpeng Zhu   +2 more
exaly   +5 more sources

Dynamic Mode Decomposition (DMD) for Low-Latency Real-Time Cardiac MRI. [PDF]

open access: yesMagn Reson Med
ABSTRACT Purpose To demonstrate dynamic mode decomposition ( DMD ) for high spatiotemporal low‐latency online reconstruction in 2D real‐time cardiac MRI.
Yagiz E   +5 more
europepmc   +3 more sources

An Anti-Interference Demultiplexing Method for Electromagnetic Bessel Beams Carrying Orbital Angular Momentum [PDF]

open access: yesSensors
This work presents a simple yet effective anti-interference demultiplexing method for electromagnetic Bessel beams carrying orbital angular momentum (OAM), based on smoothed dynamic mode decomposition (smoothed DMD).
Congwei Mi   +3 more
doaj   +2 more sources

Visualization and selection of Dynamic Mode Decomposition components for unsteady flow

open access: yesVisual 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
doaj   +3 more sources

Assessment of Dynamic Mode Decomposition (DMD) Model for Ionospheric TEC Map Predictions

open access: yesRemote Sensing, 2023
In this study, we assess the Dynamic Mode Decomposition (DMD) model applied with global ionospheric vertical Total Electron Content (vTEC) maps to construct 24-h global ionospheric vTEC map forecasts using the available International GNSS Service (IGS) 2-
Vlad Landa, Yuval Reuveni
doaj   +2 more sources

Enhancing spectral analysis in nonlinear dynamics with pseudoeigenfunctions from continuous spectra [PDF]

open access: yesScientific Reports
The analysis of complex behavior in empirical data poses significant challenges in various scientific and engineering disciplines. Dynamic Mode Decomposition (DMD) is a widely used method to reveal the spectral features of nonlinear dynamical systems ...
Itsushi Sakata, Yoshinobu Kawahara
doaj   +2 more sources

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

open access: yesEURASIP 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   +2 more
doaj   +2 more sources

Towards an Adaptive Dynamic Mode Decomposition

open access: yesResults 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
doaj   +1 more source

Dynamic mode decomposition of numerical data in natural circulation

open access: yesBrazilian 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
doaj   +1 more source

Tomographic Particle Image Velocimetry and Dynamic Mode Decomposition (DMD) in a Rectangular Impinging Jet: Vortex Dynamics and Acoustic Generation [PDF]

open access: yesFluids, 2021
Impinging jets are encountered in ventilation systems and many other industrial applications. Their flows are three-dimensional, time-dependent, and turbulent. These jets can generate a high level of noise and often present a source of discomfort in closed areas.
Hassan H. Assoum   +6 more
openaire   +3 more sources

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