Identification of fast-changing signals by means of adaptive chaotic transformations

2016/03/18 by Berezowski, Marek, Lawnik, Marcin
#Chaotic Dynamics (nlin.CD) #FOS: Physical sciences

paper · doi:10.48550/arxiv.1603.06763

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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