Nonlinear noise reduction using reference data - art. no. 036209

We introduce a method to clean uncorrelated deterministic and stochastic no ise components from time series. It combines recently developed techniques for nonlinear projection with properties of the wavelet transform to extrac t noise in state space. The method requires that time series are generated by a dynamical system which is at least approximately deterministic and tha t they are recorded together with a reference signal. its efficiency was te sted on both simulated signals and measured magnetic fields of the heart. C onvincing results are obtained even at low signal-to-noise ratios.