Empirical Mode Decomposition De-Noising Method Based on Improved Soft-Threshold

Abstract:

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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.

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Periodical:

Edited by:

Elwin Mao and Linli Xu

Pages:

421-425

DOI:

10.4028/www.scientific.net/AEF.1.421

Citation:

J. H. Xi and 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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