Email this article Noisy signal filtration using complex wavelet basis sets
- Authors: Yaseen A.S.1,2, Pavlova O.N.1, Pavlov A.N.1,3,4
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Affiliations:
- Saratov State University
- University of Technology
- Yuri Gagarin State Technical University of Saratov
- Kotelnikov Institute of Radio Engineering and Electronics (Saratov Branch)
- Issue: Vol 43, No 7 (2017)
- Pages: 641-644
- Section: Article
- URL: https://bakhtiniada.ru/1063-7850/article/view/205349
- DOI: https://doi.org/10.1134/S1063785017070288
- ID: 205349
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Abstract
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.
About the authors
A. S. Yaseen
Saratov State University; University of Technology
Email: pavlov.alexeyn@gmail.com
Russian Federation, Saratov, 410012; Baghdad
O. N. Pavlova
Saratov State University
Email: pavlov.alexeyn@gmail.com
Russian Federation, Saratov, 410012
A. N. Pavlov
Saratov State University; Yuri Gagarin State Technical University of Saratov; Kotelnikov Institute of Radio Engineering and Electronics (Saratov Branch)
Author for correspondence.
Email: pavlov.alexeyn@gmail.com
Russian Federation, Saratov, 410012; Saratov, 410054; Saratov, 410019
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