globalchange  > 气候减缓与适应
DOI: 10.1002/2017JA024153
Scopus记录号: 2-s2.0-85040247945
论文题名:
Adaptive Local Iterative Filtering: A Promising Technique for the Analysis of Nonstationary Signals
作者: Piersanti M.; Materassi M.; Cicone A.; Spogli L.; Zhou H.; Ezquer R.G.
刊名: Journal of Geophysical Research: Space Physics
ISSN: 21699380
出版年: 2018
卷: 123, 期:1
起始页码: 1031
结束页码: 1046
语种: 英语
英文关键词: ionospheric scintillation ; multiscale statistics ; nonlinear geophysics ; time series analysis
英文摘要: Many real-life signals and, in particular, in the space physics domain, exhibit variations across different temporal scales. Hence, their statistical momenta may depend on the time scale at which the signal is studied. To identify and quantify such variations, a time-frequency analysis has to be performed on these signals. The dependence of the statistical properties of a signal fluctuation on the space and time scales is the distinctive character of systems with nonlinear couplings among different modes. Hence, assessing how the statistics of signal fluctuations vary with scale will be of help in understanding the corresponding multiscale statistics of such dynamics. This paper presents a new multiscale data analysis technique, the adaptive local iterative filtering (ALIF), which allows to describe the multiscale nature of the geophysical signal studied better than via Fourier transform, and improves scale resolution with respect to discrete wavelet transform. The example of geophysical signal, to which ALIF has been applied, is ionospheric radio power scintillation on L band. ALIF appears to be a promising technique to study the small-scale structures of radio scintillation due to ionospheric turbulence. ©2017. American Geophysical Union. All Rights Reserved.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/114811
Appears in Collections:气候减缓与适应

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作者单位: Department of Physical and Chemical Sciences, University of L'Aquila, L'Aquila, Italy; Consorzio Area di Ricerca in Astrogeofisica, University of L'Aquila, L'Aquila, Italy; Institute for Complex Systems ISC-CNR, National Research Council, Rome, Italy; DISIM, Universitá degli Studi dell'Aquila, L'Aquila, Italy; Istituto Nazionale di Alta Matematica, Rome, Italy; Istituto Nazionale di Geofisica e Vulcanoligia, Rome, Italy; SpacEarth Technology, Rome, Italy; School of Mathematics, Georgia Institute of Technology, Atlanta, GA, United States; Laboratorio de Ionósfera, Departamento de Física, FACET, Universidad Nacional de Tucumán, Tucumán, Argentina; CIASUR, Facultad Regional Tucumán, Universidad Tecnológica Nacional, Tucumán, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas, Buenos Aires, Argentina

Recommended Citation:
Piersanti M.,Materassi M.,Cicone A.,et al. Adaptive Local Iterative Filtering: A Promising Technique for the Analysis of Nonstationary Signals[J]. Journal of Geophysical Research: Space Physics,2018-01-01,123(1)
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