|
Published Articles >> Table of Contents >> Abstract
Sixth International Conference on Intelligent Systems Design and Applications (ISDA'06)
pp. 51-55
An Algorithm of Signal De-noising by Using Wavelet Analysis
Dongming Chen, Northeastern University, China
Zhiliang Zhu, Northeastern University, China
Guiran Chang, Northeastern University, China
Full Article Text:
 
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ISDA.2006.9
Send link to a friend
| Abstract |
|
A new algorithm of signal de-noising by using
wavelet analysis is provided in this paper. Owing to
the different singularities of the signal and noise, the
local maxima of their dyadic wavelet transform
modulus are different too. According to the multi-scale
behaviors of wavelet transform of signal and random
noise, the algorithm of signal de-noising based on
wavelet analysis is proposed. Experiments show the
proposed algorithm improved the signal-to-noise
ratios of the de-noised signals. The de-noised signals
have smooth and nice visual appearance.
|
 Additional Information
|
Citation:
Dongming Chen, Zhiliang Zhu, Guiran Chang,
"An Algorithm of Signal De-noising by Using Wavelet Analysis,"
isda,
pp. 51-55,
Sixth International Conference on Intelligent Systems Design and Applications (ISDA'06),
2006
|
|
