Classification of highly noisy signals using global dynamical models
type: Item
instance of: scholarly article
title: Classification of highly noisy signals using global dynamical models
zbMATH Open document ID: 1020.94505
DOI: 10.1016/0375-9601(95)00375-D
published in: Physics Letters. A
publication date: 2000-02-08T00:00:00Z
Mathematics Subject Classification ID: 94A12
zbMATH DE Number: 1400955
author: J. B. Kadtke
MaRDI profile type: Publication
cites work: Nonlinear prediction of chaotic time series
cites work: Noise reduction: Finding the simplest dynamical system consistent with the data
cites work: Synchronization in chaotic systems
cites work: Topological analysis and synthesis of chaotic time series
cites work: Q3830265
cites work: Q3713483
cites work: GLOBAL DYNAMICAL EQUATIONS AND LYAPUNOV EXPONENTS FROM NOISY CHAOTIC TIME SERIES
description: scientific article; zbMATH DE number 1400955