Denoising of low SNR signals using composite wavelet shrinkage

TitleDenoising of low SNR signals using composite wavelet shrinkage
Publication TypeConference Paper
Year of Publication1997
AuthorsWong, R. S. C., and V. K. Bhargava
Conference NameCommunications, Computers and Signal Processing, 1997. '10 Years PACRim 1987-1997 - Networking the Pacific Rim'. 1997 IEEE Pacific Rim Conference on
Pagination302 -305 vol.1
Date Publishedaug.
Keywordsclipping, composite method, composite wavelet shrinkage, denoising, interference suppression, level dependant method, low SNR signals, modified level dependant threshold, modified universal threshold, signal processing, universal method, wavelet transforms, white noise

This paper introduces a composite method for the calculation of thresholds the for denoising of signals, along with the concept of clipping. This composite method is based on the universal and level dependant methods. The proposed method uses a modified level dependant threshold for levels with more than a specified number of coefficients, s, and a modified universal threshold, instead of 0, for levels with fewer than s coefficients. If the modified level dependant threshold exceeds some clipping value, it is replaced by the modified universal threshold. The results show that for low SNR signals corrupted by white noise, the proposed thresholding technique outperforms both the level dependant and universal thresholds for a variety of signals


a place of mind, The University of British Columbia

Electrical and Computer Engineering
2332 Main Mall
Vancouver, BC Canada V6T 1Z4
Tel +1.604.822.2872
Fax +1.604.822.5949

Emergency Procedures | Accessibility | Contact UBC | © Copyright 2021 The University of British Columbia