A new similarity index for nonlinear signal analysis based on local extrema patterns

DOI10.1016/j.physleta.2017.11.022zbMath1387.93105OpenAlexW2770198330MaRDI QIDQ1700536

Ali Motie Nasrabadi, Hamid Niknazar, Mohammad Bagher Shamsollahi

Publication date: 6 March 2018

Published in: Physics Letters. A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physleta.2017.11.022

zbMATH Keywords

classificationsimilarity measuresymbolic techniquenonlinear signalfuzzifying

Mathematics Subject Classification ID

Clustering in the social and behavioral sciences (91C20) Fuzzy control/observation systems (93C42) Time series analysis of dynamical systems (37M10)

Cites Work

• Unnamed Item
• Unnamed Item
• 1D-local binary pattern based feature extraction for classification of epileptic EEG signals
• Deterministic Nonperiodic Flow
• Oscillation and Chaos in Physiological Control Systems
• Use of Ranks in One-Criterion Variance Analysis
• Random forests

This page was built for publication: A new similarity index for nonlinear signal analysis based on local extrema patterns