Results 31 to 40 of about 1,877 (198)
Entropy, 2018 Dynamic mode decomposition (DMD) is essentially a hybrid algorithm based on mode decomposition and singular value decomposition, and it inevitably inherits the drawbacks of these two algorithms, including the selection strategy of truncated rank order ...
Zhang Dang +3 more
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Proper orthogonal and dynamic mode decomposition of sunspot data [PDF]
, 2021 High-resolution solar observations show the complex structure of the magnetohydrodynamic (MHD) wave motion. We apply the techniques of proper orthogonal decomposition (POD) and dynamic mode decomposition (DMD) to identify the dominant MHD wave modes in a
Brevis, W +19 more
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BMC Bioinformatics, 2022 Background Image segmentation in fluorescence microscopy is often based on spectral separation of fluorescent probes (color-based segmentation) or on significant intensity differences in individual image regions (intensity-based segmentation).
Daniel Wüstner
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Bayesian Dynamic Mode Decomposition [PDF]
, 2017 Dynamic mode decomposition (DMD) is a data-driven method for calculating a modal representation of a nonlinear dynamical system, and it has been utilized in various fields of science and engineering. In this paper, we propose Bayesian DMD, which provides
Yasuo Tabei +3 more
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Cutting Through the Noise: Extracting Dynamics from Ultrafast Spectra using Dynamic Mode Decomposition [PDF]
, 2023 Coherent multidimensional spectroscopy provides experimental access to molecular structure and sub-picosecond dynamics in solution. Dynamics are typically inferred from the evolution of lineshapes over was a function of waiting time.
Cong, Xu, Carlos, Baiz
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Journal of King Saud University - Computer and Information Sciences, 2022 Detection of blood vessels in retinal images is an important step in any computer-aided pathological system for the early screening and detection of eye-related ailments such as retinal detachment, diabetic retinopathy, and macular degeneration. Propriety of the vessel enhancement process, as a pre-processing step, has been well established in medical ...
Suchithra Madathil +1 more
openaire +2 more sources
Extended Online DMD and Weighted Modifications for Streaming Data Analysis
Computation, 2023 We present novel methods for computing the online dynamic mode decomposition (online DMD) for streaming datasets. We propose a framework that allows incremental updates to the DMD operator as data become available.
Gyurhan Nedzhibov
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International Journal of Automotive Engineering, 2018 It is believed that Dynamic Mode Decomposition (DMD) is a very useful method for the analysis of unsteady aerodynamics of road vehicles. However, it seems that the conventional DMD method is not practical regarding the application on the aerodynamic ...
Daiki Matsumoto +3 more
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Predicting behavior through dynamic modes in resting-state fMRI data
NeuroImage, 2022 Dynamic properties of resting-state functional connectivity (FC) provide rich information on brain-behavior relationships. Dynamic mode decomposition (DMD) has been used as a method to characterize FC dynamics. However, it remains unclear whether dynamic
Shigeyuki Ikeda +4 more
doaj +1 more source
Fluids, 2023 The quest for the physical mechanisms underlying turbulent high-speed jet flows is underpinned by the extraction of spatio-temporal coherent structures from their flow fields. Experimental measurements to enable data decomposition need to comprise time-resolved velocity fields with a high-spatial resolution—qualities which current particle image ...
Vishal Chaugule +4 more
openaire +2 more sources