Noisy signal filtration using complex wavelet basis sets
- 作者: Yaseen A.S.1,2, Pavlova O.N.1, Pavlov A.N.1,3,4
-
隶属关系:
- Saratov State University
- University of Technology
- Yuri Gagarin State Technical University of Saratov
- Kotelnikov Institute of Radio Engineering and Electronics (Saratov Branch)
- 期: 卷 43, 编号 7 (2017)
- 页面: 641-644
- 栏目: Article
- URL: https://bakhtiniada.ru/1063-7850/article/view/205349
- DOI: https://doi.org/10.1134/S1063785017070288
- ID: 205349
如何引用文章
详细
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.
作者简介
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
补充文件
