Noise reduction methods for signals with known dynamics

The paper deals with noise decontamination of chaotic time series under the assumption that some a priori information about the system which produced the time series is known in advance. We show that this a priori information can be quite naturally used in standard maximum likelihood approaches. The obtained results show attractive capabilities for on line and low cost implementation.