it does deal with noise, prediction and semi-random signals.
Here is the functional flow diagram->

That's real interesting- the Kalman Wiki, and I will try to imbibe as much of it as I can.
I was looking into simplistic methods of correlation also,
but the precise interpretation of Kalman and correlation terms are hard to gather for me
edit-My filtering is straightforward and easy to comprehend. It makes sense that it works.
I thought of using a windowed RMS of frequency after checking Kalman,
maybe I'll try that sometime.

