Problems of tiny changes analysis in complex time series using dynamic time warping algorithm

The dynamic time warping algorithm (DTW) as a tool for waveform changes analysis in complex non-stationary signals are described in the article. Focus of the research is in determining and studying of tiny waveform changes in signals. Problems of tiny changes definition and difference between significant tiny change and noise are considered.