On Holo-Hilbert spectral analysis: a full informational spectral representation for nonlinear and non-stationary data

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Huang, Norden E. ; Hu, Kun ; Yang, Albert C. C. ; Chang, Hsing-Chih ; Jia, Deng ; Liang, Wei-Kuang ; Yeh, Jia Rong ; Kao, Chu-Lan ; Juan, Chi-Hung ; Peng, Chung Kang ; Meijer, Johanna H. ; Wang, Yung-Hung ; Long, Steven R. ; Wu, Zhauhua (2016)
  • Publisher: The Royal Society Publishing
  • Journal: Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, volume 374, issue 2,065 (issn: 1364-503X, eissn: 1471-2962)
  • Related identifiers: pmc: PMC4792412, doi: 10.1098/rsta.2015.0206, doi: 10.1098/rsta.2015.0206.
  • Subject: empirical mode decomposition | Research Article | Holo-Hilbert spectral analysis | Hilbert–Huang transform | Holo-Hilbert spectrum | nonlinear | 140 | 1008 | non-stationary | 1005 | 127 | 6 | 81 | Articles

The Holo-Hilbert spectral analysis (HHSA) method is introduced to cure the deficiencies of traditional spectral analysis and to give a full informational representation of nonlinear and non-stationary data. It uses a nested empirical mode decomposition and Hilbert–Huang... View more
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