Noise reduction in chaotic time-series data: A survey of common methods.
about
Interface dynamics from experimental dataNoise in chaotic data: Diagnosis and treatment.Predicting and characterizing data sequences from structure-variable systems.Multifractal analysis of imprecise data: Badii-Politi and correlation integral approaches.Titration of chaos with added noise.Simple noise-reduction method based on nonlinear forecasting.A statistical framework for multiparameter analysis at the single-cell level.Detecting chaos in heavy-noise environments.Is stretching and folding feature of chaotic trajectories useful in adaptive local projection?Reconstruction of underlying nonlinear deterministic dynamics embedded in noisy spike trains.False neighbors and false strands: a reliable minimum embedding dimension algorithm.Control of chaos by random noise in a system of two coupled perturbed van der Pol oscillators modeling an electrical discharge plasma.Horizontal visibility graphs: exact results for random time series.Smooth local subspace projection for nonlinear noise reduction.Improvements to local projective noise reduction through higher order and multiscale refinements.Nonlinear denoising of functional magnetic resonance imaging time series with wavelets.Identification methods for nonlinear stochastic systems.Analyzing a stochastic time series obeying a second-order differential equation.Reducing colored noise for chaotic time series in the local phase space.A hybrid symplectic principal component analysis and central tendency measure method for detection of determinism in noisy time series with application to mechanomyography.Optimal state-space reconstruction using derivatives on projected manifold.Temporal fluctuation of singular values caused by dynamical noise in chaos.Noise reduction by recycling dynamically coupled time series.Analysis of stochastic time series in the presence of strong measurement noise.Fast Bayesian reconstruction of chaotic dynamical systems via extended Kalman filtering.Phase space method for identification of driven nonlinear systems.Reduction of noise of large amplitude through adaptive neighborhoods.Improvement of speech recognition by nonlinear noise reduction.Geometric noise reduction for multivariate time series.Obtaining functional form for chaotic time series evolution using genetic algorithm.Efficient noncausal noise reduction for deterministic time series.Chaotic-time-series reconstruction by the Bayesian paradigm: right results by wrong methods.Dynamic separation of chaotic signals in the presence of noise.Bootstrap estimates of chaotic dynamics.Bayesian reconstruction of chaotic dynamical systemsDenoising human speech signals using chaoslike features.Noise-level estimation of time series using coarse-grained entropy.Noise robust estimates of correlation dimension and K2 entropy.Time series irreversibility: a visibility graph approachNonlinear Short-term Prediction of Aluminum Foil Thickness via Global Regressor Combination
P2860
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P2860
Noise reduction in chaotic time-series data: A survey of common methods.
description
1993 nî lūn-bûn
@nan
1993 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
1993 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
1993年の論文
@ja
1993年論文
@yue
1993年論文
@zh-hant
1993年論文
@zh-hk
1993年論文
@zh-mo
1993年論文
@zh-tw
1993年论文
@wuu
name
Noise reduction in chaotic time-series data: A survey of common methods.
@ast
Noise reduction in chaotic time-series data: A survey of common methods.
@en
type
label
Noise reduction in chaotic time-series data: A survey of common methods.
@ast
Noise reduction in chaotic time-series data: A survey of common methods.
@en
prefLabel
Noise reduction in chaotic time-series data: A survey of common methods.
@ast
Noise reduction in chaotic time-series data: A survey of common methods.
@en
P2860
P356
P1433
P1476
Noise reduction in chaotic time-series data: A survey of common methods.
@en
P2093
Kostelich EJ
Schreiber T
P2860
P304
P356
10.1103/PHYSREVE.48.1752
P407
P577
1993-09-01T00:00:00Z