A novel gaussian window approach for empirical mode decomposition

Shuen De Wu*, Chiu Wen Wu, Cha Lin Liu, Yan Hao Huang, Kung Yen Lee

*此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

1 引文 斯高帕斯(Scopus)

摘要

Empirical mode decomposition (EMD) is an algorithmic construction for decomposing multi-component signals into a series of intrinsic mode functions (IMFs). However, traditional EMD may encounter the difficulty of mode mixing when a signal contains intermittency. To solve the difficulty, a Gaussian window averaging method is proposed to construct the mean envelope of a given signal in each sifting process. The numerical analysis also demonstrates promising reliability with the proposed algorithm.

原文英語
主出版物標題Advanced Materials and Engineering Materials
頁面274-277
頁數4
DOIs
出版狀態已發佈 - 2012
事件2011 International Conference on Advanced Materials and Engineering Materials, ICAMEM2011 - Shenyang, Liaoning, 中国
持續時間: 2011 11月 222011 11月 24

出版系列

名字Advanced Materials Research
457-458
ISSN(列印)1022-6680

其他

其他2011 International Conference on Advanced Materials and Engineering Materials, ICAMEM2011
國家/地區中国
城市Shenyang, Liaoning
期間2011/11/222011/11/24

ASJC Scopus subject areas

  • 一般工程

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