Noisy signal filtration using complex wavelet basis sets
- Autores: Yaseen A.S.1,2, Pavlova O.N.1, Pavlov A.N.1,3,4
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Afiliações:
- Saratov State University
- University of Technology
- Yuri Gagarin State Technical University of Saratov
- Kotelnikov Institute of Radio Engineering and Electronics (Saratov Branch)
- Edição: Volume 43, Nº 7 (2017)
- Páginas: 641-644
- Seção: Article
- URL: https://bakhtiniada.ru/1063-7850/article/view/205349
- DOI: https://doi.org/10.1134/S1063785017070288
- ID: 205349
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Resumo
Methods of noisy signal filtration using a discrete wavelet transform (DWT) with real basis sets of the Daubechies family are compared to methods employing a double-density dual-tree complex wavelet transform (DDCWT) with excess (nonorthonormalized) basis sets. Recommendations concerning the choice of filter parameters for minimization of the error of noisy signal filtration are formulated.
Sobre autores
A. Yaseen
Saratov State University; University of Technology
Email: pavlov.alexeyn@gmail.com
Rússia, Saratov, 410012; Baghdad
O. Pavlova
Saratov State University
Email: pavlov.alexeyn@gmail.com
Rússia, Saratov, 410012
A. Pavlov
Saratov State University; Yuri Gagarin State Technical University of Saratov; Kotelnikov Institute of Radio Engineering and Electronics (Saratov Branch)
Autor responsável pela correspondência
Email: pavlov.alexeyn@gmail.com
Rússia, Saratov, 410012; Saratov, 410054; Saratov, 410019
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