Results 21 to 30 of about 5,543,917 (241)

Scale-Separated Dynamic Mode Decomposition

, 2022
MatLab code to implement the Scale-Separated Dynamic Mode Decomposition method on electron density profile data ...
Alford-Lago
core   +1 more source

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, M. Mazzoleni, F. Previdi, D. Previtali, N. Valceschini   +7 more
core   +1 more source

Randomized Projection Learning Method for Dynamic Mode Decomposition

Mathematics, 2021
A data-driven analysis method known as dynamic mode decomposition (DMD) approximates the linear Koopman operator on a projected space. In the spirit of Johnson–Lindenstrauss lemma, we will use a random projection to estimate the DMD modes in a reduced ...
Sudam Surasinghe, Erik M. Bollt
doaj   +1 more source

Wireless Technology Identification Employing Dynamic Mode Decomposition Modeling

IEEE Access, 2023
Significant growth in broadband wireless services, as well as ever-increasing demand on the spectrum caused by the Internet of Things (IoT) have overstretched limited available spectrum space for wireless services.
Ahmed Elsebaay, Hazem H. Refai
doaj   +1 more source

Higher order dynamic mode decomposition beyond aerospace engineering

Results in Engineering, 2023
It is a well known fact that fluid dynamics play a crucial rule in countless fields in scientific and industrial applications, including nature and medicine (ocean currents, fluid motion around jellyfish, blood circulation...), in energy production (wind
N. Groun, B. Begiashvili, E. Valero, J. Garicano-Mena, S. Le Clainche   +4 more
doaj   +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  

Correction of blink artifacts using independent component analysis and empirical mode decomposition. [PDF]

Blink-related ocular activity is a major source of artifacts in electroencephalogram (EEG) data. Independent component analysis (ICA) is a well-known technique for the correction of such ocular artifacts, but one of the limitations of ICA is that the ICs
Bhattacharya, Joydeep, Lindsen, Job P.
core   +5 more sources

Empirical Mode Decomposition Aided by Adaptive Low Pass Filtering [PDF]

, 2012
Empirical Mode Decomposition (EMD) is an adaptive signal analysis technique which derives its basis functions from the signal itself. EMD is realized through successive iterations of a sifting process requiring local mean computation.
Arıkan, Orhan, A. Enis Cetin, Cetin, A. Enis, Orhan Arikan, Onur Ozturk, Arikan ,Orhan, Ozturk, Onur   +6 more
core   +1 more source

Dynamic mode decomposition of extreme events [PDF]

Nonlinear Processes in Geophysics
Most data-driven methods, among them Dynamic Mode Decomposition (DMD), focus on analysing and reconstructing the average behaviour of a system. However, the primary interest often lies in the anomalous behaviour, known as extreme events.
M. Ann, J. Behrens, J. Sillmann
doaj   +1 more source

Data-Driven modeling for Li-ion battery using dynamic mode decomposition

Alexandria Engineering Journal, 2022
Lithium-ion (Li-ion) batteries are the workhorse of energy storage systems in electric vehicles (EVs) due to their high energy density and desirable characteristics.
Mohamed A. Abu-Seif, Ayman S. Abdel-Khalik, Mostafa S. Hamad, Eman Hamdan, Noha A. Elmalhy   +4 more
doaj   +1 more source