Using delay differential equations as dynamical classifiers

1 January 1997

conference paper
Published by AIP Publishing

Vol. 411 (1) , 57-62
https://doi.org/10.1063/1.54215

Abstract

We show how direct estimation of delay differential equations can be used for time series analysis of observed signals corrupted by noise. The specific application we discuss is to detection (identifying the presence of a deterministic signal) and classification (assignment of a particular signal to a known class). These ideas have potentially widespread application to areas such as remote sensing, voice recognition and image processing.

Keywords

DATA MANAGEMENT
DATA ANALYSIS
SIGNAL DETECTION
DELAY DIFFERENTIAL EQUATION
FUNCTIONAL EQUATION
IMAGE PROCESSING
VOICE RECOGNITION
SIGNAL PROCESSING
TIME SERIES ANALYSIS
REMOTE SENSING
TIME SERIES

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