Paper Title:
Performance Comparison of Dense Frequency Identifications for Empirical Mode Decomposition
  Abstract

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)
Chapter
Chapter 2: Structural and New Functional Materials
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, 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
Authors
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Price
$32.00
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