Positional-binary recognition of cyclic signals by fuzzy analyses of their informative attributes
Oktay Nusratov, Аскер Алмасов, Aytakin Mammadova · Procedia Computer Science · 2017
To increase the validity of positional-binary recognition of cyclic signals it is proposed to use the mathematical apparatof fuzzy sets theory that allows taking into account additional informative attributes of these signals. Recognition of cyclic signals is carried out by comparing their fuzzy interpretations with the corresponding fuzzy interpretations of etalon signals reflecting the time location of the position-binary components.