Empirical mode decomposition of some nonstationary signals

David H. Hughes

doi:10.1117/12.484817

1 April 2003 Empirical mode decomposition of some nonstationary signals

David H. Hughes

Proceedings Volume 5102, Independent Component Analyses, Wavelets, and Neural Networks; (2003) https://doi.org/10.1117/12.484817
Event: AeroSense 2003, 2003, Orlando, Florida, United States

Abstract

Empirical mode decomposition, or Huang decomposition, is used to extract transition signatures from the nonlinear dynamics of spatially and temporally varying oscillators. Two types of transitions are studied, the delay transition and the Maxwell transition, which correspond in thermodynamics to first and second order phase transitions respectively.

Citation Download Citation

David H. Hughes "Empirical mode decomposition of some nonstationary signals", Proc. SPIE 5102, Independent Component Analyses, Wavelets, and Neural Networks, (1 April 2003); https://doi.org/10.1117/12.484817

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