Adaptive Local Iterative Filtering: A Promising Technique for the Analysis of Nonstationary Signals

Autor: Rodolfo Gerardo Ezquer, Luca Spogli, Massimo Materassi, Antonio Cicone, Haomin Zhou, Mirko Piersanti

Publikováno v: Journal of geophysical research. Space physics
123 (2018): 1031–1046. doi:10.1002/2017JA024153
info:cnr-pdr/source/autori:Piersanti M.; Materassi M.; Cicone A.; Spogli L.; Zhou H.; Ezquer R.G./titolo:Adaptive Local Iterative Filtering: A Promising Technique for the Analysis of Nonstationary Signals/doi:10.1002%2F2017JA024153/rivista:Journal of geophysical research. Space physics (Print)/anno:2018/pagina_da:1031/pagina_a:1046/intervallo_pagine:1031–1046/volume:123

Many real-life signals and, in particular, in the space physics domain, exhibit variations acrossdifferent temporal scales. Hence, their statistical momenta may depend on the time scale at which the signal is studied. To identify and quantify such va

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff394cea092eb4b3c214532634876c36
http://hdl.handle.net/11697/150219