Noisy signal filtration using complex wavelet basis sets


Citar

Texto integral

Acesso aberto Acesso aberto
Acesso é fechado Acesso está concedido
Acesso é fechado Somente assinantes

Resumo

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.

Sobre autores

A. Yaseen

Saratov State University; University of Technology

Email: pavlov.alexeyn@gmail.com
Rússia, Saratov, 410012; Baghdad

O. Pavlova

Saratov State University

Email: pavlov.alexeyn@gmail.com
Rússia, Saratov, 410012

A. Pavlov

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

Autor responsável pela correspondência
Email: pavlov.alexeyn@gmail.com
Rússia, Saratov, 410012; Saratov, 410054; Saratov, 410019

Arquivos suplementares

Arquivos suplementares
Ação
1. JATS XML

Declaração de direitos autorais © Pleiades Publishing, Ltd., 2017