DocumentCode
2340939
Title
Empirical Mode Decomposition as a Tree-Structured Filter: A Tutorial View
Author
Yang, Yanli ; Deng, Jiahao
Author_Institution
Nat. Key Lab. of Mechatron. Eng. & Control, Beijing Inst. of Technol., Beijing, China
fYear
2010
fDate
23-25 April 2010
Firstpage
1
Lastpage
4
Abstract
Empirical mode decomposition (EMD) can adaptively decompose multicomponent signals into a finite number of simple oscillatory mode functions termed intrinsic mode functions (IMFs) through a sifting process. In this paper, a tree-structured EMD filter is designed to describe the EMD algorithm. The core element of the EMD filter is called sifting filter which depicts the EMD sifting process of extracting an IMF. As a consequence, the tree-structured EMD filter can make toward a better understanding of the EMD method.
Keywords
filtering theory; trees (mathematics); empirical mode decomposition; intrinsic mode functions; multicomponent signals; oscillatory mode functions; sifting process; tree-structured filter; Algorithm design and analysis; Amplitude modulation; Electronic mail; Filter bank; Frequency; Laboratories; Mechatronics; Signal processing algorithms; Spline; Tutorial;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Engineering and Computer Science (ICBECS), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-5315-3
Type
conf
DOI
10.1109/ICBECS.2010.5462466
Filename
5462466
Link To Document