Results 21 to 30 of about 5,531,893 (193)
Quantum Dynamic Mode Decomposition Algorithm for High-Dimensional Time Series Analysis
The dynamic mode decomposition (DMD) algorithm is a widely used factorization and dimensionality reduction technique in time series analysis. When analyzing high-dimensional time series, the DMD algorithm requires extremely large amounts of computational
Cheng Xue +8 more
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Model order reduction (MOR) is considered as a good alternative to reduce the computational scale for electro-magnetic problems. The aim of this work is to introduce the use of dynamic mode decomposition (DMD) as a promising tool for MOR to analyze its ...
Sarbajit Paul, Junghwan Chang
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Experimental Study of Dynamical Airfoil and Aerodynamic Prediction
Dynamic stall is a critical limiting factor for airfoil aerodynamics and a challenging problem for active flow control. In this experimental study, dynamic stall was measured by high-frequency surface pressure tapes and pressure-sensitive paint (PSP ...
Zheyu Shi +3 more
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Identification of dynamic textures using Dynamic Mode Decomposition [PDF]
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 +3 more
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The structure of the flow field inside a torque converter was quantitatively evaluated using dynamic mode decomposition (DMD). The input time series data in the interference region of the cascade blades were measured using particle image velocimetry (PIV)
Yasunori Kunisaki +2 more
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Applying Dynamic Mode Decomposition to Interconnected Systems for Forecasting and System Identification [PDF]
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
Identification of Linear Time-Invariant Systems with Dynamic Mode Decomposition
Dynamic mode decomposition (DMD) is a popular data-driven framework to extract linear dynamics from complex high-dimensional systems. In this work, we study the system identification properties of DMD.
Jan Heiland, Benjamin Unger
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In this paper, a frequently employed technique named the sparsity-promoting dynamic mode decomposition (SPDMD) is proposed to analyze the velocity fields of atmospheric motion.
Mei Gao +5 more
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Higher order dynamic mode decomposition [PDF]
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 +3 more
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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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