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Emphasizing Difficulties in the Detection of Rhythms with Lomb-Scargle Periodograms

AutorSchimmel, Martin
Palabras claveLomb-Scargle periodogram
Rhythm detection
Outlying measures
Non-sinusoidal signals
Fecha de publicaciónjul-2001
EditorSwets & Zeitlinger
CitaciónBiological Rhythm Research 32(3): 341-345(2001)
ResumenThe Lomb-Scargle periodogram was introduced in astrophysics to detect sinusoidal signals in noisy unevenly sampled time series. It proved to be a powerful tool in time series analysis and has recently been adapted in biomedical sciences. Its use is motivated by handling non-uniform data which is a common characteristic due to the restricted and irregular observations of, for instance, free-living animals. However, the observational data often contain fractions of non-Gaussian noise or may consist of periodic signals with non-sinusoidal shapes. These properties can make more difficult the interpretation of Lomb-Scargle periodograms and can lead to misleading estimates. In this letter we illustrate these difficulties for noise-free bimodal rhythms and sinusoidal signals with outliers. The examples are aimed to emphasize limitations and to complement the recent discussion on Lomb-Scargle periodograms.
Versión del editorhttp://www.informaworld.com/smpp/content~db=all~content=a714014256
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