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.

• Periodical: Advanced Engineering Forum (Volume 1)
• Pages: 421-425
• DOI: https://doi.org/10.4028/www.scientific.net/AEF.1.421
• Online since: September 2011
• Authors: Jian Hui Xi, Jia Chen
• Keywords: Empirical Mode Decomposition (EMD), Intrinsic Mode Function (IMF), Mean Square Error (MSE), Signal-to-Noise Ratio (SNR), Threshold De-Noising

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