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 undefined NaN.
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
9th Joint International Conference on Information Sciences (JCIS-06)
Publication Date
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ISBN
978-90-78677-01-7
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  - NaN/NaN
DA  - NaN/NaN
TI  - 1/f Fractal Signals Denoising with Dual-Tree Complex Wavelet Transform
BT  - 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/jcis.2006.73
DO  - https://doi.org/10.2991/jcis.2006.73
ID  - LiNaN/NaN
ER  -