Fundamentals of Multichannelstructural Analysis of Electrical Signals

The existing structural uncertainty of the alarm process signal, which consists in the unknown dimension of the model and the uncertainty of the type of the process terms, requires the use of special methods and models of signal recognition that can work under conditions of a priori uncertainty. The resolution of the structural model is affected by the sampling frequency of the input signal, the competition of the components of the effective core filter, the intermodel decimation of the signal samples, the decimation of the residual samples, and the order of the initial filter. As the filter order increases, the signal processing window increases, so an unjustified increase in the order of the adaptive filter is undesirable. This report discusses a new approach to adaptive structural analysis based on a multi-channel adaptive filter. The advantages of multi-channel structures are the possibility of a different step within the model decimation in the filters.