The similarity between two-time series signals

Calculating similarity of two time-series signal is not an easy issue. A naive way is directly comparing pointwise after sampling, but it often is not a good idea because it results in completely different results to human perception.

A typical human would match points in consideration of its shape and curvature. We may need algorithms working like a human being.

We proposed a novel algorithm for this issue, by extending DTW (dynamic time warping), named Dyamic Positional Warping (DPW). We also found that DPW outperforms in the recognition tasks of other problems such as EEG.

Paper lists