functioning interface
functionise
sparse dmd paper
functioning dmdsp with my data
WIP: convert to python
mostly working python copy - check later iterations
working python version
tests and clean
reduce snapshots and tests
faster tests
remove unused
faster tests with correct reference
refactor - extract channel data in test
refactor to class structure
sparse plotting routines
compute dmd modes on init
flatten vector answer output
data reconstruction from sparse modes

This is running but not producing sensible output. When I reconstruct
using all of the modes I end up unable to get anything that looks like
the original data, even in the mean.

This is possibly a limitation caused by the length of my dataset (too
short), or maybe because I've multiplied matrices together incorrectly.

To try: can we reconstruct from the modes and optimal amplitudes,
without using the sparse calculations? i.e, U*Ydmd, Vand, xdmd
s/answer/sparse: more descriptive name