Empirical study of the scaling behavior of the amplitude-frequency distribution of the Hilbert-Huang transform and its application in sunspot time series analysis

Investigating long-range correlation by the Hurst exponent, H, is crucial in the study of time series. Recently, empirical-mode-decomposition-based arbitrary-order Hilbert spectral analysis (EMD-HSA) has been proposed to numerically obtain without proof a scaling relationship, generated from the amp...

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Bibliographic Details
Main Authors: Zhou, Y., Leung, Yee-Hong, Ma, J.
Format: Journal Article
Published: Elsevier BV * North-Holland 2013
Online Access:http://hdl.handle.net/20.500.11937/56403
Description
Summary:Investigating long-range correlation by the Hurst exponent, H, is crucial in the study of time series. Recently, empirical-mode-decomposition-based arbitrary-order Hilbert spectral analysis (EMD-HSA) has been proposed to numerically obtain without proof a scaling relationship, generated from the amplitude-frequency distribution, related to H. We propose a formalism to empirically study EMD-HSA, to deduce its scaling exponent ?(q) from the perspective of EMD-based arbitrary-order Hilbert marginal spectrum (EMD-HMS), and to numerically compare the results with the expected H. EMD-HSA and EMD-HMS experiments show that, by incompletely removing (quasi-)periodic trends, the sunspot series should have an H value around 0.12. © 2013 Published by Elsevier B.V.