A flexible method of reducing white noise in measurement signals by means o
f real-time digital filtering is presented. Compared to the widely used ave
raging filter, the new approach significantly reduces the delay of the step
response of a filter, measured typically at the 50% level of the full step
. The optimum filter coefficients are obtained analytically as a function o
f a single weighting parameter.