Отправить статью по E-mail Noisy signal filtration using complex wavelet basis sets
- Авторы: Yaseen A.S.1,2, Pavlova O.N.1, Pavlov A.N.1,3,4
-
Учреждения:
- Saratov State University
- University of Technology
- Yuri Gagarin State Technical University of Saratov
- Kotelnikov Institute of Radio Engineering and Electronics (Saratov Branch)
- Выпуск: Том 43, № 7 (2017)
- Страницы: 641-644
- Раздел: Article
- URL: https://journals.rcsi.science/1063-7850/article/view/205349
- DOI: https://doi.org/10.1134/S1063785017070288
- ID: 205349
Цитировать
Открытый доступ
Доступ предоставлен
Только для подписчиков
Аннотация
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.
Об авторах
A. Yaseen
Saratov State University; University of Technology
Email: pavlov.alexeyn@gmail.com
Россия, Saratov, 410012; Baghdad
O. Pavlova
Saratov State University
Email: pavlov.alexeyn@gmail.com
Россия, Saratov, 410012
A. Pavlov
Saratov State University; Yuri Gagarin State Technical University of Saratov; Kotelnikov Institute of Radio Engineering and Electronics (Saratov Branch)
Автор, ответственный за переписку.
Email: pavlov.alexeyn@gmail.com
Россия, Saratov, 410012; Saratov, 410054; Saratov, 410019
Дополнительные файлы
