Decomposing Signals from Dynamical Systems Using Shadow Manifold Interpolation

DOI10.1137/20M1350923zbMath1485.37070OpenAlexW3208684185MaRDI QIDQ5016782

No author found.

Publication date: 14 December 2021

Published in: SIAM Journal on Applied Dynamical Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1137/20m1350923

zbMATH Keywords

chaotic signalssignal decompositionmanifold reconstructionshadow manifolds

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Time series analysis of dynamical systems (37M10)

Related Items (1)

An Unstructured Mesh Approach to Nonlinear Noise Reduction for Coupled Systems

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Detecting Causality in Complex Ecosystems
• Observation of a strange attractor
• Optimal shadowing and noise reduction
• A noise reduction method for signals from nonlinear systems
• Measuring the strangeness of strange attractors
• Extracting qualitative dynamics from experimental data
• Practical method for determining the minimum embedding dimension of a scalar time series
• Generalized phase space projection for nonlinear noise reduction
• A grid-based nonlinear approach to noise reduction and deconvolution for coupled systems
• Kernel techniques: From machine learning to meshless methods
• Independent coordinates for strange attractors from mutual information
• YET ANOTHER CHAOTIC ATTRACTOR
• Ergodic theory of chaos and strange attractors

This page was built for publication: Decomposing Signals from Dynamical Systems Using Shadow Manifold Interpolation