An oblique-extrema-based approach for empirical mode decomposition

Yang, Zhijing and Yang, Lihua and Qing, Chunmei (2010) An oblique-extrema-based approach for empirical mode decomposition. Digital Signal Processing, Elsevier, 20 (3). pp. 699-714. ISSN 1051-2004

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Official URL: http://dx.doi.org/10.1016/j.dsp.2009.08.013

Abstract

It has been found that envelopes established by extrema in the empirical mode decomposition cannot always depict the local characteristics of a signal very well. This is due in part to the slight oscillations characterized as hidden scales which are almost left untreated during the sifting process. When involving hidden scales, the intrinsic mode function usually contains at a given instance multiple oscillation modes. In view of this, based on inflection points this paper presents a new decomposition algorithm called ‘oblique-extrema empirical mode decomposition’ to settle these problems. With this algorithm, any signal can be decomposed into a finite number of ‘oblique-extrema intrinsic mode functions’ which may possess better-behaved Hilbert transforms and produce more accurate instantaneous frequencies. It can suppress the effect of hidden scales and gets one step further in extracting finer scales. Experimental results demonstrate good performances of this new method.

Item Type:Article
Additional Information:It has been found that envelopes established by extrema in the empirical mode decomposition cannot always depict the local characteristics of a signal very well. This is due in part to the slight oscillations characterized as hidden scales which are almost left untreated during the sifting process. When involving hidden scales, the intrinsic mode function usually contains at a given instance multiple oscillation modes. In view of this, based on inflection points this paper presents a new decomposition algorithm called ‘oblique-extrema empirical mode decomposition’ to settle these problems. With this algorithm, any signal can be decomposed into a finite number of ‘oblique-extrema intrinsic mode functions’ which may possess better-behaved Hilbert transforms and produce more accurate instantaneous frequencies. It can suppress the effect of hidden scales and gets one step further in extracting finer scales. Experimental results demonstrate good performances of this new method.
Keywords:Empirical mode decomposition (EMD), Intrinsic mode function (IMF), Inflection point, Oblique extremum point, Oblique-extrema IMF (OIMF), Oblique-extrema empirical mode decomposition (OEMD)
Subjects:G Mathematical and Computer Sciences > G130 Mathematical Methods
Divisions:College of Science > School of Engineering
ID Code:4015
Deposited By:INVALID USER
Deposited On:13 Feb 2011 19:19
Last Modified:13 Mar 2013 08:55

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