Results 11 to 20 of about 1,602 (158)

Dynamic Mode Decomposition ( DMD ) for Low‐Latency Real‐Time Cardiac MRI

Magnetic Resonance in Medicine
ABSTRACT Purpose To demonstrate dynamic mode decomposition ( DMD ) for high spatiotemporal low‐latency online reconstruction in 2D real‐time cardiac MRI.
Ecrin Yagiz, Bilal Tasdelen, Ibrahim K. Ozaslan, Mihailo R. Jovanovic, Ye Tian, Krishna S. Nayak   +5 more
openaire   +2 more sources

Linearizing and Forecasting: A Reservoir Computing Route to Digital Twins of the Brain. [PDF]

Adv Sci (Weinh)
A new approach uses simple neural networks to create digital twins of brain activity, capturing how different patterns unfold over time. The method generates and recovers key dynamics even from noisy data. When applied to fMRI, it predicts brain signals and reveals distinctive activity patterns across regions and individuals, opening possibilities for ...
Di Antonio G, Gili T, Gabrielli A, Mattia M.   +3 more
europepmc   +2 more sources

Identification of dynamic textures using Dynamic Mode Decomposition [PDF]

, 2020
Dynamic Textures (DTs) are image sequences of moving scenes that present stationary properties in time. In this paper, we apply Dynamic Mode Decomposition (DMD) and Dynamic Mode Decomposition with Control (DMDc) to identify a parametric model of dynamic ...
Valceschini, Nicholas, Mazzoleni, Mirko, Previdi, Fabio, Previtali, Davide   +3 more
core   +1 more source

Applying Dynamic Mode Decomposition to Interconnected Systems for Forecasting and System Identification [PDF]

, 2023
Dynamic Mode Decomposition (DMD) describes a family of dynamical systems analysis approaches that approximate complex, likely non-linear behaviors with a low-rank linear operator.
Bridges, Noah
core  

Higher order dynamic mode decomposition [PDF]

, 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 ...
Vega De Prada, Jose Manuel, Le Clainche Martinez, Soledad, Soledad Le Clainche, José M. Vega   +3 more
core   +1 more source

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, Stangalini, M., Brevis, W., Jess, D.B., Jess, D. B.; id_orcid, Ballai, I, Albidah, A. B., Albidah, A.B., Verth, G., Jess, D. B., Verth, G, Fedun, V, Stangalini, Marco, Stangalini, M, Fedun, V., Albidah, AB, Higham, J., Higham, J, Ballai, I., Jess, DB   +19 more
core   +1 more source

MC-DMD: A data-driven method for blood vessel enhancement in retinal images using morphological closing and dynamic mode decomposition

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, Soman Kutti Padannayil   +1 more
openaire   +2 more sources

Investigating the Linear Dynamics of the Near-Field of a Turbulent High-Speed Jet Using Dual-Particle Image Velocimetry (PIV) and Dynamic Mode Decomposition (DMD)

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, Alexis Duddridge, Tushar Sikroria, Callum Atkinson, Julio Soria   +4 more
openaire   +2 more sources

askhamwhat/dmd-varpro-paper-examples: Variable projection methods for an optimized dynamic mode decomposition

, 2017
<p>The state of the figure generation for the arXiv preprint of the paper "Variable projection methods for an optimized dynamic mode decomposition"</p ...
Travis Askham
core   +1 more source

Hadamard Matrix Slicing Single‐Pixel Imaging: Establishing a Linear‐Array‐Inspired Paradigm for N‐fold Acceleration Single‐Pixel Imaging

Advanced Science, EarlyView.
To overcome two‐dimensional modulation bottlenecks, Hadamard Matrix Slicing Single‐Pixel Imaging (HMS‐SPI) establishes an efficient one‐dimensional imaging paradigm. By slicing the traditional Hadamard matrix into one‐dimensional encoding vectors and spatially expanding them, the required measurement patterns decrease by a factor of N.
Xiaoxue Li, Jieting Hou, Qizheng Zhao, Yiqi Jia, Xiang Zhong, Mengchao Ma, Huaxia Deng, Xinglong Gong, Ziwei Wang   +8 more
wiley   +1 more source