An algorithm for separating multilevel random telegraph signal from 1/f noise.
In this work, we propose a robust algorithm for the separation of two- and multilevel dominant random telegraph signals (RTSs) from 1/f noise in the time domain. The method does not associate each RTS level to a fixed range of the signal values, as assumed by other methods, but it is based on a efficient recognition of the jumps between the different RTS levels. The proposed algorithm can extract the 1/f component even in the presence of several dominant RTSs with different corner frequencies. The procedure has been validated by using a two-level and a four-level synthesized signals.
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DEIS, University of Calabria, Via Pietro Bucci 42C, 87030 Arcavacata di Rende (CS), Italy.
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