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

@article{Huang2016OnHS,
  title={On Holo-Hilbert spectral analysis: a full informational spectral representation for nonlinear and non-stationary data},
  author={Norden E. Huang and Kun Hu and Albert C.-C. Yang and Hsin-Chih Chang and Deng Jia and Wei-Kuang Liang and Jia-Rong Yeh and Chu-Lan Kao and Chi-Hung Juan and Chung-Kang Peng and Johanna H. Meijer and Yung-Hung Wang and Steven R. Long and Zhauhua Wu},
  journal={Philosophical transactions. Series A, Mathematical, physical, and engineering sciences},
  year={2016},
  volume={374}
}
  • N. Huang, Kun Hu, Zhauhua Wu
  • Published 13 April 2016
  • Mathematics
  • Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
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 transform (HHT) approach to identify intrinsic amplitude and frequency modulations often present in nonlinear systems. Comparisons are first made with traditional spectrum analysis, which usually achieved its results through… 
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