title: |
1/f Fractal Signals Denoising with Dual-Tree Complex Wavelet Transform |
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publication: |
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part of series: |
Advances in Intelligent Systems Research | |
ISBN: |
978-90-78677-01-7 | |
ISSN: |
1951-6851 | |
DOI: |
doi:10.2991/jcis.2006.73 (how to use a DOI) | |
author(s): |
Xueyan Li, Shuxu Guo, Ye Li, Jingwei Fu, Shuai Jiang |
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corresponding author: |
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publication date: |
October 2006 |
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keywords: |
Fractal signals; Dual-Tree Complex Wavelet Transform; Bayesian Estimation; |
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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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copyright: |
©
Atlantis Press. This article is distributed under the
terms of the Creative Commons Attribution License, which permits
non-commercial use, distribution and reproduction in any medium,
provided the original work is properly cited. |
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full text: |