  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.
