Persistent Homology on Embedded Time-Series
This package offers high-level tools for exploration and visualization of delay coordinate embedding and persistent homology. It is used to investigate the utilization of these together as a signal processing technique. Also included is a dataset of time-series (mostly musical instrument recordings) and higher dimensional trajectories as .txt files.
PHETS uses Perseus to compute persitent homology.
PHETS was originally developed for the research detailed here. If you find PHETS useful in your research work, please cite this paper.
Please direct inquires to lizb@colorado.edu.