Noisy signal filtration using complex wavelet basis sets


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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.

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A. Yaseen

Saratov State University; University of Technology

Email: pavlov.alexeyn@gmail.com
俄罗斯联邦, Saratov, 410012; Baghdad

O. Pavlova

Saratov State University

Email: pavlov.alexeyn@gmail.com
俄罗斯联邦, Saratov, 410012

A. Pavlov

Saratov State University; Yuri Gagarin State Technical University of Saratov; Kotelnikov Institute of Radio Engineering and Electronics (Saratov Branch)

编辑信件的主要联系方式.
Email: pavlov.alexeyn@gmail.com
俄罗斯联邦, Saratov, 410012; Saratov, 410054; Saratov, 410019

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