• Approach for real – time image recognition 

      Kozhemyako, V. P.; Tymchenko, L. I.; Kutaev, Yu. F.; Yaroviy, A. A.; Кожем’яко, В. П.; Тимченко, Л. І.; Кутаєв, Ю. Ф.; Яровий, А. А. (Вінницький державний технічний університет, 2001)
      In this work new approach for parallel-hierarchical (PH) networks learning1 having applied to the real-time image sequences in extended laser paths2 is proposed. It's possible to synthesize PH network with learning ...
    • Extrapolation of object trajectory: methodological approaches of problem solving on the base of parallel-hierarchical transformation 

      Kozhemyako, V. P.; Tymchenko, L. I.; Kutaev, Yu. F.; Yarovyi, A. A.; Gertsiy, A. A.; Kokryatskaya, N. I.; Кожем'яко, В. П.; Тимченко, Л. І.; Кутаєв, Ю. Ф.; Яровий, А. А.; Герцій, А. А.; Кокряцька, Н. І. (ВНТУ, 2004)
      Authors have worked out a nonstationary signal analysis method on the example of research of laser lines. This method disclosed relationship between signal approximation coefficients and geometry signal characterizations ...
    • New approach for the detection of noise-distorted signals based on the method of S-preparation 

      Tymchenko, L. I.; Kutaev, Yu. F.; Cheporniuk, S. V.; Kokryatskaya, N. I.; Yarovyi, A. A.; Denysova, A. E.; Тимченко, Л. І.; Кутаєв, Ю. Ф.; Чепорнюк, С. В.; Кокряцька, Н. І.; Яровий, А. А.; Денисова, А. Е. (Institution of Engineering and Technology, 2014)
      A classification of correlation algorithms is provided. A method of S-preparation is discussed, which, due to the preliminary conveyor formation of correlated image convolution sums, is characterised by high noise immunity ...