Data Filter Kalman

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.

Settings

in

Input Data flow(s).

out

Output Data flow(s).

factor.

Filter factor. Small values for hi filtering, large value for low.

See also

• Data Filter Median Value
• Data Filter Moving Average
• Data Filter Smooth
• Data Filter Kalman
• Data Filter Smooth Attack Release