Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)

1/f Fractal Signals Denoising with Dual-Tree Complex Wavelet Transform

Authors
Xueyan Li 0, Shuxu Guo, Ye Li, Jingwei Fu, Shuai Jiang
Corresponding Author
Xueyan Li
0Jilin University
Available Online October 2006.
DOI
https://doi.org/10.2991/jcis.2006.73How to use a DOI?
Keywords
Fractal signals; Dual-Tree Complex Wavelet Transform; Bayesian Estimation;
Abstract
In the paper, an algorithm based on Dual-Tree Complex Wavelet Transform is proposed for process denoising. Use the variance of the wavelet coefficients at different scales to estimate the parameters of process. Adopting Maximum a Posteriori estimator estimates the wavelet coefficients of process. The simulation results show that the method is effective. And comparing with other methods this method doesn’t need to know the statistical characteristic of the added white noise and the parameters of the process.
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Proceedings
Part of series
Advances in Intelligent Systems Research
Publication Date
October 2006
ISBN
978-90-78677-01-7
ISSN
1951-6851
DOI
https://doi.org/10.2991/jcis.2006.73How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xueyan Li
AU  - Shuxu Guo
AU  - Ye Li
AU  - Jingwei Fu
AU  - Shuai Jiang
PY  - 2006/10
DA  - 2006/10
TI  - 1/f Fractal Signals Denoising with Dual-Tree Complex Wavelet Transform
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2006.73
DO  - https://doi.org/10.2991/jcis.2006.73
ID  - Li2006/10
ER  -