Linked Life Data

11665689

Source:http://linkedlifedata.com/resource/pubmed/id/11665689

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2001-10-19
pubmed:abstractText
The 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.
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
S
pubmed:status
MEDLINE
pubmed:month
Jul
pubmed:issn
0929-1016
pubmed:author
pubmed:issnType
Print
pubmed:volume
32
pubmed:owner
NASA
pubmed:authorsComplete
Y
pubmed:pagination
341-5
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2001
pubmed:articleTitle
Emphasizing difficulties in the detection of rhythms with Lomb-Scargle periodograms.
pubmed:affiliation
Department of Geophysics, University of Sao Paulo, Brazil. martin@iag.usp.br
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't