SIGNAL DENOISING USING NEIGHBOURING DUAL-TREE COMPLEX WAVELET COEFFICIENTS

被引：0
|
作者：
Chen, G. Y. [1 ]
Zhu, W. -P. [1 ]
机构：
[1] Concordia Univ, Dept Elect & Comp Engn, Montreal, PQ H3G 1M8, Canada
来源：
2009 IEEE 22ND CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING, VOLS 1 AND 2 | 2009年
关键词：
Signal denoising; dual-tree complex wavelets; neighbour coefficient; thresholding; BIVARIATE SHRINKAGE; IMAGE; MULTIWAVELETS; DEPENDENCY;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper, a new signal denoising algorithm is proposed by using the neighbouring wavelet coefficients. The dual-tree complex wavelet transform is employed due to its property of approximate shift invariance that is very important in signal denoising. Both translation-invariant (TI) and non-TI versions of the denoising algorithm are considered. Computer simulations show that the proposed method outperforms other existing methods in the literature for denoising artificial and real-life noisy signals.
引用
收藏
页码：250 / 253
页数：4
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