A Signal Decomposition Algorithm Based on Multiple Complex AMFM Model-Reference-Cited by-同舟云学术

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A Signal Decomposition Algorithm Based on Multiple Complex AMFM Model

Published:2021-10-28 Issue:2 Volume:41 Page:1052-1073
ISSN:0278-081X
Container-title:Circuits, Systems, and Signal Processing
language:en
Short-container-title:Circuits Syst Signal Process

Author:

Zhu De^ORCID,Gao Qingwei,Lu Yixiang,Sun Dong

Funder

National Outstanding Youth Science Fund Project of National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Signal Processing

Link

https://link.springer.com/content/pdf/10.1007/s00034-021-01825-3.pdf

Reference34 articles.

1. Bat. https://cpb-us-e1.wpmucdn.com/blogs.rice.edu/dist/0/7717/files/software/batsignal.zip.

2. E. Bedrosian, A product theorem for Hilbert transform. Proc. IEEE 51(5), 868–869 (1963). https://doi.org/10.1109/PROC.1963.2308

3. C.Y. Chen, S.M. Guo, W.S. Chang et al., An improved bidimensional empirical mode decomposition: a mean approach for fast decomposition. Signal Process. 98, 344–358 (2014). https://doi.org/10.1016/j.sigpro.2013.11.034

4. S.Q. Chen, X.J. Dong, Z.K. Peng et al., Nonlinear chirp mode decomposition: a variational method. IEEE Trans. Signal Process. 65(22), 6024–6037 (2017). https://doi.org/10.1109/TSP.2017.2731300

5. S.Q. Chen, X.J. Dong, G.P. Xing et al., Separation of overlapped non-stationary signals by ridge path regrouping and intrinsic chirp component decomposition. IEEE Sens. J. 17, 5994–6005 (2017). https://doi.org/10.1109/JSEN.2017.2737467

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