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
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;
Conference_Titel :
Biomedical Engineering and Computer Science (ICBECS), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5315-3
DOI :
10.1109/ICBECS.2010.5462466