I saved this for a separate log because I would like to return to this topic once I have brought the rest of the project up to date. 

Kalman filters are well known and regarded for their ability to quickly adapt state estimations (ie the filter output) to legitimate signal, amongst noise. I had been wondering about this for some time when I posted a .stack entry to solicit input from the community over a year ago:

https://hackaday.io/page/6902-is-a-1d-kalman-filter-suitable-to-correct-clock-drift-against-an-external-noisy-cyclical-phenomenon

For now, I will leave you with that exchange of thoughts and promise that I will return to the topic - when I do, any further wisdom from you in the comments here would be most welcome!