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

descriptionPublicationkeyboard_double_arrow_right Article 01 May 2016Publisher:IEEEJournal:2016 XIX IEEE International Conference on Soft Computing and Measurements (SCM)

Authors: Bernd Krause; Ivan Luzyanin; Anton Petrochenkov;

doi: 10.1109/scm.2016.7519799

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

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Abstract

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.

Related Organizations

Perm National Research Polytechnic University
Russian Federation
Anhalt University of Applied Sciences
Germany

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