The Kalman filter, is a mathematical method for data filtering (not audio) named after Rudolf E. Kálmán. Its purpose is to use measurements observed over time, containing noise (random variations) and other inaccuracies, and produce values that tend to be closer to the true values of the measurements and their associated calculated values.
Input Data flow
CONST R = 0.1; CONST Q = 0.0001;
Filtered Output Data flow