DocumentCode :
177513
Title :
On selecting relevant intrinsic mode functions in empirical mode decomposition: An energy-based approach
Author :
Baptista de Souza, Douglas ; Chanussot, Jocelyn ; Favre, Anne-Catherine
Author_Institution :
GIPSA-Lab., Domaine Univ., St. Martin d´Hères, France
fYear :
2014
fDate :
4-9 May 2014
Firstpage :
325
Lastpage :
329
Abstract :
Although the empirical mode decomposition is a powerful tool for analyzing complicated datasets, many irrelevant intrinsic mode functions may appear in the decomposition. In this paper, we develop an energy-based method to detect relevant intrinsic mode functions. The new method can be seen as a generalization of techniques that are based on correlation. An experimental study is carried out in different datasets for assessing the performance of the proposed technique.
Keywords :
signal classification; signal processing; complicated dataset analysis; correlation technique; empirical mode decomposition; energy based method; relevant intrinsic mode functions; Correlation; Empirical mode decomposition; Mutual information; Signal processing; Time series analysis; Time-frequency analysis; Wavelet transforms; correlation; empirical mode decomposition; energy; intrinsic mode function; mutual information;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
Type :
conf
DOI :
10.1109/ICASSP.2014.6853611
Filename :
6853611
Link To Document :
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