Abstract
Measurement signal preprocessing consists of several techniques for data preanalysis and modification. The removal of erroneous samples is one of these tasks. This paper presents a predictive median threshold filter with robust prediction estimation. The filter can be applied to the elimination of impulsive disturbances of short duration. The main demand for this kind of filter is that the elimination of a disturbance must not distort the signal in the time domain outside the erroneous region. The filter structure and some results of tests illustrating the performance of the filter in both the time and the frequency domain are presented. The results show that the new filter structure is less sensitive to changing properties of disturbances than the corresponding former filter structure. This means that the values for the filter parameters are easy to select and that the filter can be applied to suppress high-amplitude disturbances with great reliability.
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