Spectral analysis of unequally spaced sampled time series

G. Cornelissen, J. De Prins

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

It has been shown that the chosen numerical integration method corresponds to a realistic view of data processing. Sampling conditions and frequency range have been carefully examined to define the Fourier coefficients. The estimation of the errors has pointed at the ability of the spectral analysis method. The definition of the first order autocovariance coefficient has led to the knowledge of the time dependence of both amplitude and frequency.

Original languageEnglish (US)
Pages (from-to)89-94
Number of pages6
JournalJournal of Interdisciplinary Cycle Research
Volume6
Issue number1
DOIs
StatePublished - Jan 1 1975
Externally publishedYes

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