Identification of fast-changing signals by means of adaptive chaotic transformations
Articles
Marek Berezowski
Silesian University of Technology, Poland
Marcin Lawnik
Silesian University of Technology, Poland
Published 2014-04-10
https://doi.org/10.15388/NA.2014.2.2
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Keywords

signal identification
adaptive sampling
Weierstrass function
chaos

How to Cite

Berezowski M. and Lawnik M. (2014) “Identification of fast-changing signals by means of adaptive chaotic transformations”, Nonlinear Analysis: Modelling and Control, 19(2), pp. 172-177. doi: 10.15388/NA.2014.2.2.

Abstract

The adaptive approach of strongly non-linear fast-changing signals identification is discussed. The approach is devised by adaptive sampling based on chaotic mapping “in yourself” of a signal. Presented sampling way may be utilized online in the automatic control of chemical reactor (throughout identification of concentrations and temperature oscillations in real-time), in medicine (throughout identification of ECG and EEG signals in real-time), etc. In this paper, we presented it to identify the Weierstrass function and ECG signal.

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