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

摘要

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