Performance Comparison of Dense Frequency Identifications for Empirical Mode Decomposition

Abstract:

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Empirical Mode Decomposition(EMD) suffers some difficulties in separating dense frequencies. The Wavelet Packet Transform (WPT) and Singular-Value Decomposition (SVD) as signal preprocessors were used to decompose a simulated signal with dense frequency components and the performances of two signal preprocess technologies were compared in this paper. The results show that Singular-Value Decomposition (SVD) as preprocessor was better in separating dense frequencies than Wavelet Packet Transform (WPT).

Info:

Periodical:

Advanced Materials Research (Volumes 378-379)

Edited by:

Brendan Gan, Yu Gan and Y. Yu

Pages:

266-269

DOI:

10.4028/www.scientific.net/AMR.378-379.266

Citation:

M. Zheng and F. Shen, "Performance Comparison of Dense Frequency Identifications for Empirical Mode Decomposition", Advanced Materials Research, Vols. 378-379, pp. 266-269, 2012

Online since:

October 2011

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$35.00

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