Dangers of geometric filtering

DOI10.1016/0167-2789(93)90135-NzbMath0789.68146OpenAlexW2056712989MaRDI QIDQ1315989

Kevin Judd, Alistair I. Mees

Publication date: 17 March 1994

Published in: Physica D (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-2789(93)90135-n

zbMATH Keywords

geometric filteringnonlinear dynamical data analysispreprocessing of time series data

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Computing methodologies for image processing (68U10)

Related Items (5)

Exploiting the periodic structure of chaotic systems for noise reduction of nonlinear signals ⋮ Nonlinear noise reduction through Monte Carlo sampling ⋮ Practical implementation of nonlinear time series methods: The <scp>TISEAN</scp> package ⋮ A SMOOTHING ALGORITHM FOR NONLINEAR TIME SERIES ⋮ Determinism in Financial Time Series

Cites Work

• Unnamed Item
• Unnamed Item
• Optimal shadowing and noise reduction
• A noise reduction method for signals from nonlinear systems
• On determining the dimension of chaotic flows
• Measuring the strangeness of strange attractors
• An improved estimator of dimension and some comments on providing confidence intervals
• Local Lyapunov exponents computed from observed data
• Topological dimension and local coordinates from time series data
• ESTIMATING DIMENSIONS WITH CONFIDENCE
• Ergodic theory of chaos and strange attractors

This page was built for publication: Dangers of geometric filtering