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Комплексное Канальное Представление Для Декодирования Широкополосного Сигнала Квантовыми Нейронами

Author

Listed:
  • Артыщенко Степан Владимирович

    (Воронежский государственный архитектурно-строительный университет)

  • Головинский Павел Абрамович

    (Воронежский государственный архитектурно-строительный университет)

Abstract

Предложено канальное представление данных для декодирования широкополосного сигнала. В основу развиваемого подхода положено нелинейное отображение, увеличивающее размерность данных и расстояние между образами. Окончательное распознавание сигналов осуществляется с помощью квантовых нейронов в параллельной схеме. Показана эффективность алгоритма декодирования сигнала на фоне белого шума.Channel representation of data to decode the broadband signal is proposed. The basis of the approach is non-linear map, which increases the dimensionality of data and the distance between patterns. Final signal detection is carried out using complex-valued quantum neurons in a parallel circuit. The efficiency of the algorithm for decoding of a signal with the background of white noise is shown.

Suggested Citation

  • Артыщенко Степан Владимирович & Головинский Павел Абрамович, 2014. "Комплексное Канальное Представление Для Декодирования Широкополосного Сигнала Квантовыми Нейронами," Проблемы управления, CyberLeninka;Общество с ограниченной ответственностью "СенСиДат-Контрол", issue 3, pages 64-67.
    • Handle: RePEc:scn:009530:15572445
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