Robust methods for signal mixtures separation and independent components analysis in conditions of noised data
Автор: Malychina G.F., Merkusheva A.V.
Журнал: Научное приборостроение @nauchnoe-priborostroenie
Рубрика: Теоретические разработки
Статья в выпуске: 1 т.21, 2011 года.
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Robust methods and related algorithms based on neural networks for signal mixture separation are considered. Form reconstruction for original signals, identification of mixture and separation matrixes are implemented practically without of errors for conditions of noise significant levels in the mixtures of original signals.
Signal mixture, noising, components reconstruction, robust methods, algorithms, neural networks, mixture matrix reconstruction
Короткий адрес: https://sciup.org/14264694
IDR: 14264694
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