JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2015, Vol. 45 ›› Issue (3): 35-42.doi: 10.6040/j.issn.1672-3961.0.2014.376

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Signal filtering based on Improved Empirical Mode Decomposition

MU Feng, CHANG Faliang, JIANG Qinyu   

  1. College of Control Science and Engineering, Shandong University, Jinan 250061, Shandong, China
  • Received:2014-12-22 Revised:2015-04-27 Published:2014-12-22

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Abstract: To solve the problem that the filtering effect of classical Empirical Mode Decomposition (EMD) algorithm wasn't good in a low SNR environment, an improved EMD filtering algorithm was proposed. Signal spectrum was analyzed with FFT, if there was high-frequency noise in the signal, the first Intrinsic Mode Function (IMF) which was obtained by EMD algorithm was removed. And if there was white-noise or glitch in the signal, a variable factor was added to the classical EMD algorithm then filtered the signal using EMD, and the first IMF was removed at the last iteration of the algorithm. The simulation experimental results showed that the Mean Square Error (MSE) of the improved EMD algorithm was small and the filtering effect was good in the low SNR environment.

Key words: denoising, intrinsic mode function, variable metric, low SNR, empirical mode decomposition

CLC Number: 

  • TP391.4
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