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 I If 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.

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 I If 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. (C) 2008 American Institute of Physics.