De-noising Algorithm of Modified Thresholding Function Based On the Best Basis of Wavelet Packet

DOI

10.2991/iccsee.2013.381How to use a DOI?

Keywords

wavelet packet, modified thresholding function, denoising, signal-to-noise ratio

Abstract

This paper is about on denosing by modified thresholding function based on wavelet packet transform. First, there is a summary of the necessary conditions to construct the thresholding function on the basis of previous studies. And a new function for this method is put forward for wavelet packet denoising.Then,through four kinds of previous representative evolutionary thresholding functions are used for contrast, with the addition of traditional soft and hard threshoulding, all these functions are tested in a simulation experiment via four kinds of typical signals contarminated by different Gaussian white noise.Finally,the results show that the new function can be further remove noise effectively, and improve the signal-to-noise ratio, which reflects the superiority of conducting the modified thresholding function for wavelet packet signal denoising.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Lin Chen
AU  - Wei Wang
AU  - Zengli Liu
AU  - Hui Tang
PY  - 2013/03
DA  - 2013/03
TI  - De-noising Algorithm of Modified Thresholding Function Based On the Best Basis of Wavelet Packet
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 1515
EP  - 1521
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.381
DO  - 10.2991/iccsee.2013.381
ID  - Chen2013/03
ER  -