dissertation/where_fi/cli
Christos Falas c452e44e1a
MUSIC eigenvalue visualisation
One of the issues I've been facing was that the range of the eigenvalues
was quite large, and I couldn't easily see a natural threshold to set to
separate the signal and noise subspaces.

This visualisation provides a histogram for this scenario, to assist in
choosing the parameter (which is different in different configurations).
2025-03-04 13:48:32 +00:00
..
__init__.py MUSIC eigenvalue visualisation 2025-03-04 13:48:32 +00:00
file.py fix: Write to file race condition 2025-01-27 17:28:47 +00:00
globals.py Make into package 2025-01-27 15:55:17 +00:00