Noise reduction schemes for chaotic time series
From MaRDI portal
Publication:1341000
DOI10.1016/S0167-2789(05)80005-3zbMath0888.58032OpenAlexW4253033709MaRDI QIDQ1341000
Publication date: 21 December 1994
Published in: Physica D (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0167-2789(05)80005-3
Related Items
A Bayesian nonparametric approach to dynamical noise reduction, Statistical inference for dynamical systems: a review, Error covariance matrix estimation of noisy and dynamically coupled time series, Nonlinear state estimation, indistinguishable states, and the extended Kalman filter, Permutation Entropy of State Transition Networks to Detect Synchronization, On the overestimation of the correlation dimension., Noise robust estimates of the largest Lyapunov exponent, Gradient free descent: Shadowing, and state estimation using limited derivative information, Beneath the noise, chaos, Nonlinear noise reduction through Monte Carlo sampling, Practical implementation of nonlinear time series methods: The <scp>TISEAN</scp> package, Fitting model equations to time series using chaos synchronization, A SMOOTHING ALGORITHM FOR NONLINEAR TIME SERIES, Indistinguishable states. I: Pefect model scenario., Chaos control in a nonlinear pendulum using a semi-continuous method, Denoising signals corrupted by chaotic noise, Consistency of support vector machines for forecasting the evolution of an unknown ergodic dynamical system from observations with unknown noise, Topology-based denoising of chaos
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Optimal shadowing and noise reduction
- Noise reduction: Finding the simplest dynamical system consistent with the data
- A noise reduction method for signals from nonlinear systems
- Extracting qualitative dynamics from experimental data
- State space reconstruction in the presence of noise
- Embedology
- Numerical orbits of chaotic processes represent true orbits
- NOISE REDUCTION BY GRADIENT DESCENT
- Markov Partitions for Axiom A Diffeomorphisms