Adaptive smoothing and filtering in transducers

Abstract

The article discusses adaptive filtering in the measurement signals with complex dynamics. Smoothing is pro- posed to change depending on the dynamics. Dynamics is estimated by approximating the current values of linear, parabolic or other addiction. The mathematical simulation of the digital filter, the running average, and smoothing by linear and parabolic dependence is carried out at different frequencies of the useful signal. Filter efficiency was estimated by the standard deviation of the original sinusoidal signal. Adaptation algorithm for the transmitter absorbed is proposed.