Application of wavelet analysis and artificial neural networks in solving the problem concerning shape recognition of noisy pulsed signals

Abstract

The problem concerning recognition of single pulses under the action of interferences is discussed by the example of classification of neuron action potentials. Joint applications of wavelets and artificial neural networks in solving the the given problem are analyzed. The recognition method, which is based on wavelet neural networks and ensures adjustment of the synapses of a supplementary (''wavelet'') layer, has been pro posed. It is demonstrated that experimental data can efficiently be analyzed via the proposed method.