Using a Variation of Empirical Mode Decomposition To Remove Noise From Signals

被引：0
|
作者：
Kaleem, M. F. [1 ]
Guergachi, A. [1 ]
Krishnan, S. [1 ]
Cetin, A. E. [2 ]
机构：
[1] Ryerson Univ, Toronto, ON, Canada
[2] Bilkent Univ, Ankara, Turkey
来源：
2011 21ST INTERNATIONAL CONFERENCE ON NOISE AND FLUCTUATIONS (ICNF) | 2011年
关键词：
De-noising; de-trending; empirical mode decomposition;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper will describe the application of tau-based decomposition, which is a variation of the empirical mode decomposition method based on modified peak selection, to de-noising and de-trending of signals. The tau-based decomposition method will be explained, and its application to synthetic and real-world signals in the context of de-noising and de-trending will be described. Comparison between the computational simplicity of the tau-based decomposition method to de-noising and de-trending of signals and approaches based on empirical mode decomposition will be highlighted.
引用
收藏
页码：123 / 126
页数：4
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