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

Marek Berezowski; Marcin Lawnik

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arXiv · 1603.06763

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

Marek Berezowski·Marcin Lawnik

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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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Marek Berezowski, Marcin Lawnik. 2016-03-18. Identification of fast-changing signals by means of adaptive chaotic transformations. https://arxiv.org/abs/1603.06763

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