Sgs-thomson Microelectronics S.r.l.

Maddalena Di Giura

Rinaldo Poluzzi

Gianguido Rizzotto

Andrea Pagni

The fuzzy filtering of a noise signal comprising a plurality of signal samples &lsqb;s(t,k)&rsqb; is carried out using as variables the variation of the signal in the considered window and the distance of the samples from a sample to be reconstructed, to distinguish the typical variations of the original signal from those due to the noise and to identify the signal fronts. The method comprises the steps of defining a current signal sample &lsqb;s(t)&rsqb; from among the plurality of signal samples, calculating a plurality of difference samples &lsqb;D(t,k)&rsqb; as the difference in absolute value between the current signal sample and each signal sample and defining distance values (k) between the current signal sample and each signal sample. The method further comprises determining weight parameters &lsqb;P(k)&rsqb; on the basis of the difference samples and the distance values by means of fuzzy logic and weighing the signal samples with the weight parameters so as to obtain a reconstructed signal sample &lsqb;o(t)&rsqb;.

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Monza, Italy

Maddalena Di Giura