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  5. Spectral analysis of signals by Root-Min-Norm method, using modified SSA method

Spectral analysis of signals by Root-Min-Norm method, using modified SSA method

V. Vasylyshyn
Системи обробки інформації. — 2018. — № 1(152). – С. 16-19.
UDK 621.396
Article language: english
Annotations languages:


Annotation: The paper considers the problem of efficiency enhancing of spectral analysis of the signals observed against noise via Root-Min-Norm method with data preprocessing by modification of the SSA method. Simulations results are presented that confirm the enhancement of spectral analysis efficiency by Root-Min-Norm method when using the SSA method and its modification.


Keywords: noise reduction, eigenvector, eigenvalues, eigenbasis, singular vectors, singular values, modified SSA method
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Reference:
Vasilishin, V.І. (2018), Spectral analysis of signals by Root-Min-Norm method, using modified SSA method, Information Processing Systems, Vol. 1(152), pp. 16-19. https://doi.org/10.30748/soi.2018.152.02.