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Seminar: “WAVEPAL: A Python software for the frequency and wavelet analyses of irregularly sampled time series”

  • May 24, 2019


I will present the Python package WAVEPAL which performs frequency and time-frequency analyses of irregularly sampled time series without interpolating the data. The frequency analysis is based on the Lomb-Scargle periodogram and the WOSA smoothing method. The time-frequency analysis is performed with the Morlet wavelet scalogram, which is carefully designed to accommodate for an irregular time sampling. Moreover, the package proposes significance testing against a large choice of background processes, extending the traditional choice between a Gaussian white noise and a Gaussian red noise. The software also provides tools for filtering the signal.


Related publications: and