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The complex local mean decomposition
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DOI：10.1016/j.neucom.2010.07.030.png)
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The local mean decomposition (LMD) has been recently developed for the analysis of time series which have nonlinearity and nonstationarity. The smoothed local mean of the LMD surpasses the cubic spline method used by the empirical mode decomposition (EMD) to extract amplitude and frequency modulated components. To process complex-valued data, we propose complex LMD, a natural and generic extension to the complex domain of the original LMD algorithm. It is shown that complex LMD extracts the frequency modulated rotation and envelope components. Simulations on both artificial and real-world complex-valued signals support the analysis. (C) 2010 Elsevier B.V. All rights reserved.
Keyword:
Local mean decomposition
Data fusion
Complex signal analysis
Time-frequency analysis
Signal nonlinearity
Spike identification
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6.5
论文数:
2.5W
被引数:
6.5W
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