DocumentCode :
2043277
Title :
Empirical mode decomposition frequency resolution improvement using the pre-emphasis and de-emphasis method
Author :
Roy, Arnab ; Doherty, John F.
Author_Institution :
Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA
fYear :
2008
fDate :
19-21 March 2008
Firstpage :
453
Lastpage :
457
Abstract :
Empirical mode decomposition (EMD) is a time-frequency analysis technique that has gained popularity in recent times due to its adaptivity and applicability to non-stationary signals. Paired with the Hilbert transform it yields a timefrequency spectrum and is called the Hilbert-Huang transform (HHT). The empirical nature of EMD has resulted in a lack of theoretical analysis so far. Issues regarding its ability to resolve different frequencies have been largely ignored in the past as have been questions regarding optimum choice of some control parameters based on the signal. In this paper we propose a new pre-emphasis/de-emphasis technique to improve the frequency resolving ability of EMD for a particular configuration of tonal signals with unequal amplitudes. The dependence of the frequency resolving ability of this technique on the number of sifting iterations and stopping criterion threshold setting is pointed out.
Keywords :
Hilbert transforms; signal processing; time-frequency analysis; Hilbert transform; Hilbert-Huang transform; criterion threshold; deemphasis method; empirical mode decomposition; frequency resolution; preemphasis method; sifting iterations; time-frequency analysis technique; time-frequency spectrum; Analytical models; Distortion; Frequency conversion; Guidelines; Signal analysis; Signal resolution; Time frequency analysis; Wavelet analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Sciences and Systems, 2008. CISS 2008. 42nd Annual Conference on
Conference_Location :
Princeton, NJ
Print_ISBN :
978-1-4244-2246-3
Electronic_ISBN :
978-1-4244-2247-0
Type :
conf
DOI :
10.1109/CISS.2008.4558569
Filename :
4558569
Link To Document :
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