Recursive Hilbert Transform Method: Algorithm and Convergence Analysis-Reference-Cited by-同舟云学术

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Recursive Hilbert Transform Method: Algorithm and Convergence Analysis

Published:2024-03-27 Issue:6 Volume:43 Page:3927-3951
ISSN:0278-081X
Container-title:Circuits, Systems, and Signal Processing
language:en
Short-container-title:Circuits Syst Signal Process

Author:

Hu Zhi-Xiang,Huang Xiao,Zhi Lun-Hai

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Research Foundation of AnHui JianZhu University

Natural Science Foundation of Anhui Province

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00034-024-02648-8.pdf

Reference29 articles.

1. E. Bedrosian, A product theorem for Hilbert transforms. Proc. IEEE 51, 868–869 (1963)

2. S. Braun, M. Feldman, Decomposition of non-stationary signals into varying time scales: Some aspects of the EMD and HVD methods. Mech. Syst. Signal Process. 25, 2608–2630 (2011). https://doi.org/10.1016/j.ymssp.2011.04.005

3. G. Chen, Z. Wang, A signal decomposition theorem with Hilbert transform and its application to narrowband time series with closely spaced frequency components. Mech. Syst. Signal Process. 28, 258–279 (2012). https://doi.org/10.1016/j.ymssp.2011.02.002

4. C.M. Da Fonseca, V. Kowalenko, Eigenpairs of a family of tridiagonal matrices: three decades later. Acta Math. Hung. 160, 376–389 (2020). https://doi.org/10.1007/s10474-019-00970-1

5. I. Daubechies, J. Lu, H.-T. Wu, Synchrosqueezed wavelet transforms: an empirical mode decomposition-like tool. Appl. Comput. Harmon. Anal. 30, 243–261 (2011). https://doi.org/10.1016/j.acha.2010.08.002

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