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Mode Decomposition for Homogeneous Symmetric Operators.
Ido Cohen
,
Omri Azencot
, Pavel Lifshitz
, Guy Gilboa
Research output
:
Working paper/Preprint
›
Preprint
Overview
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Dive into the research topics of 'Mode Decomposition for Homogeneous Symmetric Operators.'. Together they form a unique fingerprint.
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Keyphrases
Dynamic Mode Decomposition
100%
Symmetric Operator
100%
Mode Decomposition
100%
Homogeneous Flow
28%
Dimensionality Reduction
28%
Image Decomposition
28%
Steady State
14%
Adaptation
14%
Fluid Dynamics
14%
Dynamic Base
14%
Machine Learning
14%
Decomposition Method
14%
Signal Processing
14%
Dynamical Systems
14%
Dynamic Signal
14%
Signal Machine
14%
Nonlinear Flow
14%
Spectral Image
14%
Time Variable
14%
Approximation Error
14%
Latent Structure
14%
Decay Profiles
14%
Linear Flow
14%
Degree of Homogeneity
14%
Structures in Data
14%
Sampling Policy
14%
Arbitrary Sampling
14%
Homogeneous Operators
14%
Koopman Operator
14%
Nonexistence of Solutions
14%
Time Rescaling
14%
Polynomial Decay
14%
Mathematics
Dynamic Mode Decomposition
100%
Symmetric Operator
100%
Dimensionality Reduction
28%
Approximates
14%
Matrix (Mathematics)
14%
Polynomial
14%
Signal Processing
14%
Dynamical System
14%
Constrains
14%
Step Size
14%
Finite Time
14%
Time Step Size
14%
Nonexistence
14%
Reduction Method
14%
Approximation Error
14%
Engineering
Mode Dynamic
100%
Step Size α
28%
Dimensionality
28%
Homogeneous Flow
28%
Fluid Dynamics
14%
Constrains
14%
Finite Time
14%