The well-known noise problem in digital differentiation is addressed by mea
ns of using adaptive digital filtering for signal preprocessing. Rapidly re
sponding differentiators with low-noise output can be constructed by using
the adaptive filter in a predictor configuration. As the prefilter is adapt
ive, the approximation is more flexible than polynomial fitting. The recurs
ive least-squares adaptive algorithm is used for prediction.