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

页码：250 / 253

页数：4

共 19 条

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