* initialize slow and fast filters with current values (first call only) - reduces time for filter stabilization * use slightly optimized variant of "rolling average" filter (result is exactly the same) --> replaced `xX = xX * (1-a) + newX * a;` by `xX = xX + a * (newX - Xx);` * use constants for filter parameters (for tinkering and improved readability)