
Рассмотрены вопросы синтеза алгоритма распознавания сигналов при непараметрической априорной неопределённости с использованием аппроксимационного подхода при формировании функционала правдоподобия.
Questions of the signal recognition algorithm syntheses are considered with nonparametric a priori uncertainty using approximate approach at plausibilities functional forming.
РАСПОЗНАВАНИЕ СИГНАЛОВ, РЕШАЮЩЕЕ ПРАВИЛО, СТОХАСТИЧЕСКОЕ КОДИРОВАНИЕ, АПРИОРНАЯ НЕОПРЕДЕЛЕННОСТЬ, КЛАССИФИКАТОР
РАСПОЗНАВАНИЕ СИГНАЛОВ, РЕШАЮЩЕЕ ПРАВИЛО, СТОХАСТИЧЕСКОЕ КОДИРОВАНИЕ, АПРИОРНАЯ НЕОПРЕДЕЛЕННОСТЬ, КЛАССИФИКАТОР
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