Identification of fast-changing signals by means of adaptive chaotic transformations
Chaotic Dynamics
2016-03-23 v1
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.
Keywords
Cite
@article{arxiv.1603.06763,
title = {Identification of fast-changing signals by means of adaptive chaotic transformations},
author = {Marek Berezowski and Marcin Lawnik},
journal= {arXiv preprint arXiv:1603.06763},
year = {2016}
}
Comments
7 pages, 5 figures, published as open access in the Nonlinear Analysis: Modelling and Control, vol. 19, no. 2, 2014