作者: Obrad Kasum , Aleksandar Perović , Aleksandar Jovanović
关键词:
摘要: The concept of biological signals is becoming broader. Some the challenges are: • searching for inner and structural characteristics; selecting appropriate modelling to enhance perceived properties in signals; extracting representative components, identifying their mathematical correspondents; performing necessary transformations order obtain form subtle analysis, comparisons, derived recognition classification. There that unique moment when we correspond adequate structures observed phenomena. It allows application various constructs, reconstructions. Finally, comparisons classifications newly phenomena often lead enrichment existing models with some additional structurality. For a specialized context takes place suitable set representations same kind, M, where mentioned take place. They are used determination finalization processes preformed. Normalized initial content measured determine key invariants (characterizing characteristics). Then, preformed or targeted purposes. process converges measures distance measurements space M. Thus, dealing measure metric spaces, gaining opportunities have not been initially available. Obviously, different aspects research diagnostics will demand specific spaces. In our practice faced large variety problems analysis very rich palette metrics. Even slightly characteristics, corresponding differ, refinements structures. Certain criteria need be fulfilled. Namely, characterization semantic stability. small changes induce We offer collection involved in, together met solutions, visualizations.