Adaptive methods and algorithms for separation of signal mixure with independent components
Автор: Malykhina G.F., Merkusheva A.V.
Журнал: Научное приборостроение @nauchnoe-priborostroenie
Рубрика: Обработка сигналов, программное обеспечение
Статья в выпуске: 3 т.20, 2010 года.
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Methods and algorithms that are intended for separation of signal mixture of independent components (initial signals generating the mixture) are discussed. Methods realization is oriented on neural networks. The models of neural networks and the rules for their adaptive learning are discussed.
Signal mixtures, generating signals, initial components, independence, adaptive methods, algorithms
Короткий адрес: https://sciup.org/14264666
IDR: 14264666
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