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(s).
This filter is optimized for data's in [0..1].
Output Data flow(s).
Filter factor. Small values for hi filtering, large value for low.
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