
Рассматривается задача выделения сигнала с конкретным набором значений и параметров на фоне помех и других сигналов при помощи многомерной линейной фильтрации. Распространяющиеся в пространстве акустические сигналы представлены в виде пространственно-временных функций, обработка которых производится методами многомерного Фурье-анализа.
The paper considers the problem of eXtracting a signal with a specific set of values and parameters from noise and other signals using multivariate linear filtering. Propagating in space acoustic signals are represented as space-time functions, processing of which is produced by methods of multidimensional Fourier analysis.
МНОГОМЕРНАЯ ФИЛЬТРАЦИЯ, ПРЕОБРАЗОВАНИЕ ФУРЬЕ, АКУСТИЧЕСКАЯ ВОЛНА, АНТЕННАЯ РЕШЕТКА, ПРОСТРАНСТВЕННО-ВРЕМЕННОЙ СПЕКТР СИГНАЛА
МНОГОМЕРНАЯ ФИЛЬТРАЦИЯ, ПРЕОБРАЗОВАНИЕ ФУРЬЕ, АКУСТИЧЕСКАЯ ВОЛНА, АНТЕННАЯ РЕШЕТКА, ПРОСТРАНСТВЕННО-ВРЕМЕННОЙ СПЕКТР СИГНАЛА
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