DocumentCode
2197118
Title
Wiener Filtering Using Neighboring Coefficients
Author
Ying, Yang ; Yusen, Wei
Author_Institution
Dept. of Electron. Eng., Xi´´an Univ. of Technol., Xi´´an, China
Volume
1
fYear
2011
fDate
14-15 May 2011
Firstpage
406
Lastpage
409
Abstract
In order to provide a more clean and better denoising result, a novel denoising method called wiener filtering using neighboring coefficients (WNC) is proposed in this paper. It combined both the advantages of neighboring coefficients (NC) and wiener filtering. Experimental results show that WNC can effectively suppress the noise components of different kinds of signals. It is better than the traditional Wiener filtering, NC scheme and hard thresholding. Comparing other 3 methods, the average SNR improvement of the signals denoised by the WNC scheme was increased by 0.199dB, 1.438dB and 2.345 dB, respectively.
Keywords
Wiener filters; signal denoising; SNR improvement; WNC scheme; Wiener filtering; hard thresholding; neighboring coefficient; noise component; novel denoising method; Noise measurement; Signal denoising; Signal to noise ratio; Wavelet coefficients; Wiener filter; hard thresholding; neighboring coefficients; wavelet transform; wiener filtering;
fLanguage
English
Publisher
ieee
Conference_Titel
Network Computing and Information Security (NCIS), 2011 International Conference on
Conference_Location
Guilin
Print_ISBN
978-1-61284-347-6
Type
conf
DOI
10.1109/NCIS.2011.89
Filename
5948759
Link To Document