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This article is cited in 4 scientific papers (total in 4 papers)
Noisy signal filtration using complex wavelet basis sets
A. S. Yaseenab, O. N. Pavlovaa, A. N. Pavlovacd a Saratov State University
b University of Technology, Baghdad, Iraq
c Yuri Gagarin State Technical University of Saratov
d Saratov Branch, Kotel'nikov Institute of Radio-Engineering and Electronics, Russian Academy of Sciences
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.
Received: 14.03.2017
Citation:
A. S. Yaseen, O. N. Pavlova, A. N. Pavlov, “Noisy signal filtration using complex wavelet basis sets”, Pisma v Zhurnal Tekhnicheskoi Fiziki, 43:14 (2017), 10–18; Tech. Phys. Lett., 43:7 (2017), 641–644
Linking options:
https://www.mathnet.ru/eng/pjtf6167 https://www.mathnet.ru/eng/pjtf/v43/i14/p10
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