Publications Repository - Helmholtz-Zentrum Dresden-Rossendorf

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Common methods of spectral data analysis for unevenly sampled data

Seilmayer, M.

Abstract

Fourier and Hilbert transforms are utilized to perform several types of spectral analysis on the supplied data. Fragmented and irregularly spaced data can be processed in terms of Lomb-Scargle method. Both, FFT as well as LOMB methods take multivariate data. A user friendly interface helps to interpret the results.

Keywords: Lomb-Scargle; Fourier, Hilbert, R

  • Software in external data repository
    Publication year 2019
    Programming language: R
    System requirements: PC, Windows, Linux, MAC
    License: GPL-2

Permalink: https://www.hzdr.de/publications/Publ-29280

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