Paper Title:
Empirical Mode Decomposition De-Noising Method Based on Improved Soft-Threshold
  Abstract

In this paper, an improved soft-threshold function is constructed, combined the improved function and empirical mode decomposition (EMD) methods, a new de-noising method has been proposed. Set the adaptive threshold for the intrinsic mode functions (IMFs) of the EMD, and then de-noise the each IMF respectively. Finally, the de-noised signal is reconstructed by the de-noised IMF components. Through the simulation results of quantitative analysis by signal-to-noise ratio (SNR) and mean square error (MSE), the algorithm in this paper has better de-noising effect. Also, this method can effectively improve the constant deviation between the original signal and the de-noised signal by traditional soft-threshold.

  Info
Periodical
Chapter
Chapter 5: Engineering Management
Edited by
Elwin Mao and Linli Xu
Pages
421-425
DOI
10.4028/www.scientific.net/AEF.1.421
Citation
J. H. Xi, J. Chen, "Empirical Mode Decomposition De-Noising Method Based on Improved Soft-Threshold", Advanced Engineering Forum, Vol. 1, pp. 421-425, 2011
Online since
September 2011
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