Imitation modelling for the subsystem of identification and structuring data of signal sensors

Abstract

With the aim of increasing the recognition precision of acoustic surface waves the analysis of physical properties of wave propagation has been proposed, and also the dependence of the wave structure on the geometric parameters of the object under study and material used for the object construction is described. The authors have determined the implementation characteristics of the subsystem for identifying and structuring acoustic surface wave sensor data. They also have modelled the reference signals of the training sample for the recognition of the type of acoustic surface waves. They have reached the conclusions on the dependence between the structure of acoustic surface waves and the probability of recognition.