Signal-noise separation using unsupervised reservoir computing

arXiv:2404.04870v1 Announce Type: new
Abstract: Removing noise from a signal without knowing the characteristics of the noise is a challenging task. This paper introduces a signal-noise separation method based on time series prediction. We use Reservoir Computing (RC) to extract the maximum portion of "predictable information" from a given signal. Reproducing the deterministic component of the signal using RC, we estimate the noise distribution from the difference between the original signal and reconstructed one. The method is based on a …

abstract arxiv computing cs.lg eess.sp extract information nlin.cd noise paper prediction series signal time series type unsupervised