Articles | Volume 25, issue 1
https://doi.org/10.5194/npg-25-145-2018
https://doi.org/10.5194/npg-25-145-2018
Research article
 | 
05 Mar 2018
Research article |  | 05 Mar 2018

A general theory on frequency and time–frequency analysis of irregularly sampled time series based on projection methods – Part 1: Frequency analysis

Guillaume Lenoir and Michel Crucifix

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Nonlin. Processes Geophys., 25, 175–200, https://doi.org/10.5194/npg-25-175-2018,https://doi.org/10.5194/npg-25-175-2018, 2018
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Subject: Time series, machine learning, networks, stochastic processes, extreme events | Topic: Climate, atmosphere, ocean, hydrology, cryosphere, biosphere
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Cited articles

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Short summary
We develop a general framework for the frequency analysis of irregularly sampled time series. We also design a test of significance against a general background noise which encompasses the Gaussian white or red noise. Our results generalize and unify methods developed in the fields of geosciences, engineering, astronomy and astrophysics. All the analysis tools presented in this paper are available to the reader in the Python package WAVEPAL.