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Content Provider | IET Digital Library |
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Author | Li, Hongyi Wang, Chaojie Zhao, Di |
Abstract | Envelope modified versions of the empirical mode decomposition (EMD) method such as the B-spline interpolation-based EMD (B-EMD) method and cardinal spline interpolation-based EMD (C-EMD) method have been proposed recently for purpose of improving its effectiveness. To shed further light on their performance, the behaviours of these EMD-type methods in the presence of white Gaussian noises are investigated in this study based on extensive numerical experiments. Similarly to the EMD method, it turns out that the envelope modified EMD methods also act as filter banks essentially. However, the spectra among the first several intrinsic mode functions of the B-EMD method have fewer overlaps than those of the EMD and C-EMD methods, which indicate that the B-EMD method has a better ability to alleviate the mode mixing problem for signals with higher frequencies. On the other hand, the C-EMD method is shown to perform better than the EMD and B-EMD methods on separating tones with lower frequencies. |
Starting Page | 844 |
Ending Page | 851 |
Page Count | 8 |
ISSN | 17519675 |
Volume Number | 12 |
e-ISSN | 17519683 |
Issue Number | Issue 7, Sep (2018) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-spr/12/7 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2017.0399 |
Journal | IET Signal Processing |
Publisher Date | 2018-03-23 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | AWGN B-EMD Method B-spline Interpolation Based Method C-EMD Method Cardinal Spline Interpolation-based Method Channel Bank Filter Empirical Mode Decomposition Envelope Modified EMD Method Filter Bank Property Filtering Method in Signal Processing Hilbert Transform Integral Transforms in Numerical Analysis Interpolation Interpolation And Function Approximation Intrinsic Mode Function Mathematics Numerical Analysis Numerical Experiment Signal Processing Theory SpLine White Gaussian Noise |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Electrical and Electronic Engineering |
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