csd_quant

These file can be used to run PCA on a set of CSD data to create an ideal case of your
phenomenon of interest

This ideal case can then be compared against other recordings to provide a score
to later be used in model optimization

wasserstein_distance.py

Loads Two CSD files to calculate the Wasserstein distance between their sinks and sources
These distances are then summed to create a total Wasserstein Distance score

csd_erp.py

WIP at the moment, meant to perform PCA on a directory of CSD data to create an ideal
case CSD to be used in wasserstein_distance.py

utils.py

Utility functions used in the files above - to be moved into its own dir later