Results 61 to 70 of about 1,602 (158)

Optimal Kernel-Based Dynamic Mode Decomposition

, 2018
The state-of-the-art algorithm known as kernel-based dynamic mode decomposition (K-DMD) provides a sub-optimal solution to the problem of reduced modeling of a dynamical system based on a finite approximation of the Koopman operator.
Cédric Herzet, Patrick Héas
core   +1 more source

Dynamic mode decomposition for gyrokinetic eigenmode analysis [PDF]

Dynamic mode decomposition (DMD) is a post-processing approach to decompose a complex time series into a set of modes via spectral analysis. DMD provides a new and powerful method to recover gyrokinetic drift-wave eigenfrequencies and eigenfunctions ...
Yang, C, Dudkovskaia, AV, Belli, EA, Candy, J, Li, D   +4 more
core   +1 more source

Dynamic Mode Decomposition: A New Approach for Computing the DMD Modes and Eigenvalues

Annals of the Academy of Romanian Scientists Series on Mathematics and Its Application, 2022
openaire   +1 more source

A composite dynamic mode decomposition analysis of turbulent channel flows

, 2019
In this contribution, we consider the Dynamic Mode Decomposition (DMD) framework as a purely data-driven tool to investigate both standard and actuated turbulent channel databases via Direct Numerical Simulation (DNS).
J. Garicano-Mena, E. Valero, Li, B., Valero Sánchez, Eusebio, Ferrer Vaccarezza, Esteban, E. Ferrer, B. Li, Garicano Mena, Jesus   +7 more
core   +1 more source

Dynamic Mode Decomposition of Backward Facing Step Flow Simulation Data

, 2015
Improved delayed detached eddy (IDDES) simulation results of a backward facing step flow are analyzed using dynamic mode decomposition (DMD). Different flow variables and the time-resolved skin friction coefficient are investigated and compared to a ...
Klaus Hannemann, Karthik V. Mani, Hannemann, Klaus, Mani, Karthik V., Tim Horchler, Horchler, Tim   +5 more
core   +1 more source

Delay-Embedding Spatio-Temporal Dynamic Mode Decomposition

Spatio-temporal dynamic mode decomposition (STDMD) is an extension of dynamic mode decomposition (DMD) designed to handle spatio-temporal datasets. It extends the framework so that it can analyze data that have both spatial and temporal variations.
Gyurhan Nedzhibov
core   +1 more source

Elucidating motion patterns in sperm cell motion with dynamic mode decomposition. [PDF]

J Biol Phys
Šimánek P, Hořenín J, Khalil ISM, Magdanz V, Klingner A, Kovalenko A.   +5 more
europepmc   +1 more source

Dynamic mode decomposition of resting-state fMRI revealing abnormal brain region features in schizophrenia. [PDF]

Front Comput Neurosci
Wang Y, Wang Y, Xu X, Pan X.
europepmc   +1 more source

A novel spatiotemporal decomposition and identification of sparse equations for human brain deformation. [PDF]

Sci Rep
Arani AHG, Alshareef AA, Pham DL, Okamoto RJ, Bayly PV.   +4 more
europepmc   +1 more source

Dynamic Mode Decomposition-Based Clustered Pattern Projection for Reliable Alzheimer's Disease Detection from EEG. [PDF]

Diagnostics (Basel)
Seo JH, Kang H, Kang J, Zreikat AI.
europepmc   +1 more source