A simple form of recursive filtering using an adjustable gain and a memory length.
The filter predicts the next sample based on the previous values and the calculated error.
The filter predicts the next sample based on the previous values and the calculated error.
Notes de version:
Regression fitter updated.
Error estimator updated.
Error estimator updated.
Notes de version:
A secondary filter is added.
Slope and intercept calculations are done by calling a function.
Slope and intercept calculations are done by calling a function.