广东工业大学学报 ›› 2012, Vol. 29 ›› Issue (1): 43-45.

• 综合研究 • 上一篇    下一篇

经验模态分解效果与信号频率振幅的关系

  

  1. 华南理工大学  广州学院,广东  广州  510800
  • 出版日期:2012-03-25 发布日期:2012-03-25
  • 作者简介:卢珍(1985-),女,助教,主要研究方向为计算数学、信号处理.

The Relationship Between the Effect of Empirical Mode Decomposition and the Frequency Amplitude of  Signals

  1. Guangzhou College, South China University of Technology, Guangzhou 510800, China
  • Online:2012-03-25 Published:2012-03-25

摘要: 利用经验模态分解(Empirical Mode Decomposition ,简称EMD)方法对由两个正弦线性叠加而成的信号进行分离处理,研究正弦信号的频率和振幅对EMD分离效果的影响.通过多组实验得出,两正弦信号的频率相差越大或振幅相差越小, EMD分离效果越明显.

关键词: 经验模态分解;内模函数;信号分离;频率;正弦信号

Abstract:
With the method of the Empirical Mode Decomposition (EMD), it studied the separation of the signals formed through linear superposition of two sinusoidal signals. Furthermore, it analyzed how the frequency and amplitude of the signals can affect the result of separation . Multiple experiments show that the bigger difference in frequency or the smaller difference in amplitude between the two signals there is, the more obvious the separation effect is.

Key words: Empirical Mode Decomposition(EMD); Intrinsic Mode Function(IMF); signal separation; frequency; sinusoidal signal

[1]Elias M.Fourier Ananlysis[M].北京:世界图书出版公司,2006:18-153.

[2] Mallat S,Zhang Z.Matching pursuit with timefrequency dictionaries[J].IEEE Trans on PAMI,1993,15(12):3397-3415.

[3] Yang Zhihua.A new definition of the intrinsic mode function[J].Engineering and Technology,2009,60(8620):822-855.

[4] 聂祥飞. 基于经验模式分解和匹配追踪的人脸检测[J].计算机工程,2007,33(14):30-32.

[5] Huang N E, Shen Z. The Empirical Mode Decomposition Method and the Hilbert Spectrum Fornonlinear and Nonstationary Time Series Analysis[C]∥Proceedings of the Royal Society of London,1998,454(A):903-995.

[6]  Patrick F I, Gabriel Rilling, Paulo Gonalvès. Empirical mode decompositionas a filter bank[J]. IEEE Signal Processing Letters,2004,11:112-114. 

[7] Damerval C, Meigne S,Perrier V.  A fast algorithm for bidimensional EMD[J].  IEEE Signal Processing Letters, 2005,12:701-704.

[8] Wu Zhaohua,Norden E Huang. Ensemble empirical mode decomposition: a noise assisted data analysis method[J].  Advances in Adaptive Data Analysis,2009,1(1):1-41.
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