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经验模态分解(Empirical Mode Decomposition)

算法工具箱

变种和改进算法

相关论文

  • [1] Rehman and D. P. Mandic, "Multivariate Empirical Mode Decomposition", Proceedings of the Royal Society A, 2010
  • [2] G. Rilling, P. Flandrin and P. Goncalves, "On Empirical Mode Decomposition and its Algorithms", Proc of the IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing, NSIP-03, Grado (I), June 2003
  • [3] N. E. Huang et al., "A confidence limit for the Empirical Mode Decomposition and Hilbert spectral analysis", Proceedings of the Royal Society A, Vol. 459, pp. 2317-2345, 2003
  • [4] Rilling G, Flandrin P, Gonçalves P, et al. Bivariate empirical mode decomposition[J]. IEEE signal processing letters, 2007, 14(12): 936-939.
  • [5] Dandan Peng, Zhiliang Liu, Yaqiang Jin, Yong Qin. Improved EMD with a Soft Sifting Stopping Criterion and Its Application to Fault Diagnosis of Rotating Machinery. Journal of Mechanical Engineering. 55 (10): 122-132, 2019.
  • [6] Zhiliang Liu, Yaqiang Jin, Ming J. Zuo, and Zhipeng Feng. Time-frequency representation based on robust local mean decomposition for multi-component AM-FM signal analysis. Mechanical Systems and Signal Processing. 95: 468-487, 2017.
  • [7]. Tanaka, T. and D.P. Mandic, Complex Empirical Mode Decomposition. IEEE Signal Processing Letters, 2007. 14(2): p. 101-104. link

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