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Mode Mixing Suppression Algorithm for Empirical Mode Decomposition Based on Self-Filtering Method

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Abstract

The Hilbert-Huang transform (HHT) is a classic method in time-frequency analysis field which was proposed in 1998. Since it is not limited by signal type, it is generally applied in medicine, target detection and so on. Empirical mode decomposition (EMD) is a pre-processing part of HHT. However, EMD still has many imperfect aspects, such as envelope fitting, the endpoint effect, mode mixing and other issues, of which the most important issue is the mode mixing. This paper proposes a mode mixing suppression algorithm based on self-filtering method using frequency conversion. The proposed algorithm focuses on the instantaneous frequency estimation and the false components removing procedures, which help the proposed algorithm to update or purify the designated intrinsic mode function (IMF). According the simulation results, the proposed algorithm can effectively suppress the mode mixing. Comparing with ensemble empirical mode decomposition (EEMD) and mask method, the suppression performance is increased by 26%.

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Authors and Affiliations

  1. Harbin Institute of Technology, Harbin, China

    Longwen Wu, Yupeng Zhang, Yaqin Zhao, Guanghui Ren & Shengyang He

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  1. Longwen Wu
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  2. Yupeng Zhang
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  3. Yaqin Zhao
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  4. Guanghui Ren
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Correspondence to Yaqin Zhao.

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The authors declare that they have no conflict of interest.

Additional Information

The initial version of this paper in Russian is published in the journal “Izvestiya Vysshikh Uchebnykh Zavedenii. Radioelektronika,” ISSN 2307-6011 (Online), ISSN 0021-3470 (Print) on the link http://radio.kpi.ua/article/view/S0021347019090036 with DOI: 10.20535/S0021347019090036.

Russian Text © The Author(s), 2019, published in Izvestiya Vysshikh Uchebnykh Zavedenii, Radioelektronika, 2019, Vol. 62, No. 9, pp. 550–562.

This work was supported by the National Natural Science Foundation of China under Grant No. 61671185.

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Wu, L., Zhang, Y., Zhao, Y. et al. Mode Mixing Suppression Algorithm for Empirical Mode Decomposition Based on Self-Filtering Method. Radioelectron.Commun.Syst. 62, 462–473 (2019). https://doi.org/10.3103/S0735272719090036

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