Results 51 to 60 of about 1,602 (158)

Analysis Of Sea Clutter Using Dynamic Mode Decomposition

, 2019
In this paper, a novel method based on a dynamic mode decomposition (DMD) for sea clutter analysis is proposed. It extracts the temporal patterns and corresponding dynamic modes from the sea clutter simultaneously. Moreover, the temporal patterns display
Zhang, Yanming, Ewe, Hong Tat, Jiang, Lijun   +2 more
core   +1 more source

Data-Driven Stability Assessment of Power Electronic Converters with Multi-Resolution Dynamic Mode Decomposition

Harmonic instability occurs frequently in the power electronic converter system. This paper leverages multi-resolution dynamic mode decomposition (MR-DMD) as a data-driven diagnostic tool for the system stability of power electronic converters, not ...
Sahoo, Subham, Blaabjerg, Frede, Liu, Yongjie, Kong, Rui   +3 more
core   +2 more sources

Classification of Epileptic EEG Signals Using Dynamic Mode Decomposition

, 2020
28th Signal Processing and Communications Applications Conference, SIU 2020 -- 5 October 2020 through 7 October 2020 -- 166413In the literature, several signal processing techniques have been used to diagnose epilepsy which is a nervous system disease ...
Akan A., Ozlem Karabiber Cura, Sude Pehlivan, Cura O.K., Pehlivan S., Aydin Akan   +5 more
core   +1 more source

The kernel perspective on dynamic mode decomposition

, 2023
This manuscript revisits theoretical assumptions concerning dynamic mode decomposition (DMD) of Koopman operators, including the existence of lattices of eigenfunctions, common eigenfunctions between Koopman operators, and boundedness and compactness of ...
Jury, Michael, Abudia, Moad, Rosenfeld, Joel A., Kamalapurkar, Rushikesh, Gonzalez, Efrain   +4 more
core  

Tensor-based dynamic mode decomposition

, 2016
Dynamic mode decomposition (DMD) is a recently developed tool for the analysis of the behavior of complex dynamical systems. In this paper, we will propose an extension of DMD that exploits low-rank tensor decompositions of potentially high-dimensional ...
Klus, S., Schütte, Ch., Gelß, P., Peitz, S.   +3 more
core  

Data-Driven Pulsatile Blood Flow Physics with Dynamic Mode Decomposition

, 2020
Dynamic mode decomposition (DMD) is a purely data-driven and equation-free technique for reduced-order modeling of dynamical systems and fluid flow. DMD finds a best fit linear reduced-order model that represents any given spatiotemporal data.
Milad Habibi, Scott T. M. Dawson, Amirhossein Arzani   +2 more
core   +1 more source

Regularized dynamic mode decomposition algorithm for time sequence predictions

Dynamic mode decomposition (DMD) aims at extracting intrinsic mechanisms in a time sequence via linear recurrence relation of its observables, thereby predicting later terms in the sequence. Stability is a major concern in DMD predictions.
Shaoqiang Tang, Xiaoyang Xie
core   +1 more source

A Comparative Study of Principal Component Analysis (PCA) and Dynamic Mode Decomposition (DMD) Variants

Thesis (Master's)--University of Washington, 2024This study evaluates the performance of the Exact Dynamic Mode Decomposition (DMD), Optimized DMD, and Modified Optimized DMD algorithms under various noise conditions, with a specific focus on ...
He, Yile
core  

Dynamic mode decomposition with control

, 2014
We develop a new method which extends Dynamic Mode Decomposition (DMD) to incorporate the effect of control to extract low-order models from high-dimensional, complex systems.
J. Nathan Kutz, Steven L. Brunton, Joshua L. Proctor   +2 more
core  

Dynamic mode decomposition using a Kalman filter for parameter estimation

, 2018
A novel dynamic mode decomposition (DMD) method based on a Kalman filter is proposed. This paper explains the fast algorithm of the proposed Kalman filter DMD (KFDMD) in combination with truncated proper orthogonal decomposition for many-degree-of ...
Hisaichi Shibata, Taku Nonomura, Ryoji Takaki   +2 more
core   +1 more source