Frequency estimation based on the cumulated Lomb–Scargle periodogram

C. Lévy‐Leduc, E. Moulines and F. Roueff

Journal of Time Series Analysis, 2008, vol. 29, issue 6, 1104-1131

Abstract: Abstract. We consider the problem of estimating the period of an unknown periodic function observed in additive Gaussian noise sampled at irregularly spaced time instants in a semiparametric setting. To solve this problem, we propose a novel estimator based on the cumulated Lomb–Scargle periodogram. We prove that this estimator is consistent, asymptotically Gaussian and we provide an explicit expression of the asymptotic variance. Some Monte Carlo experiments are then presented to support our claims.

Date: 2008
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https://doi.org/10.1111/j.1467-9892.2008.00599.x

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Persistent link: https://EconPapers.repec.org/RePEc:bla:jtsera:v:29:y:2008:i:6:p:1104-1131

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