Methodology for validating simulation models of multidimensional signals of various natures

This article discusses the methodology for validating simulation models of multidimensional signals of various natures. The relevance of the research is determined by the increasing need for accurate and reliable models for analyzing complex data such as radar, sonar, medical, and other signals. The proposed validation methodology includes the use of statistical methods, comparative analyses, and visualizations. The authors present a comprehensive approach that helps identify the strengths and weaknesses of the simulation model. The results of applying the methodology are discussed in the context of enhancing trust in simulation modeling and improving the quality of data analysis.