The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.
Understanding the Lomb–Scargle Periodogram
Open accessAbstract
The Lomb–Scargle periodogram is a well-known algorithm for detecting and characterizing periodic signals in unevenly sampled data. This paper presents a conceptual introduction to the Lomb–Scargle periodogram and important practical considerations for its use. Rather than a rigorous mathematical treatment, the goal of this paper is to build intuition about what assumptions are implicit in the use of the Lomb–Scargle periodogram and related estimators of periodicity, so as to motivate important practical considerations required in its proper application and interpretation.
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Cited by
Filzinger, M., Dörscher, S., Lange, R., Klose, J., Steinel, M., Benkler, E., Peik, E., Lisdat, C., & Huntemann, N. (2023) · Physical Review Letters · doi:10.1103/physrevlett.130.253001 · Cited by 133
Real-Time Quality Index to Control Data Loss in Real-Life Cardiac Monitoring Applications
Vila, G., Godin, C., Charbonnier, S., & Campagne, A. (2021) · Sensors · doi:10.3390/s21165357 · Cited by 8
Metadata
- Authors
- VanderPlas, J. T.
- Venue
- The Astrophysical Journal Supplement Series
- Publisher
- American Astronomical Society
- Published
- 2018-05-01
- Volume
- 236
- Issue
- 1
- Pages
- 16
- ISSN
- 0067-0049 (ISSN-L)
- 1538-4365
- OpenAlex
- W2780156044
- Cited by
- 1,248
- References
- 57
- FWCI
- 122.84
- Type
- journal article
- Language
- en
- Open access
- bronze
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