Unevenly-sampled signals: a general formalism of the Lomb-Scargle periodogram

Astronomy and Astrophysics – Astrophysics – Cosmology and Extragalactic Astrophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

10 pages, 11 figures, Astronomy and Astrophysics, in press

Scientific paper

The periodogram is a popular tool that tests whether a signal consists only of noise or if it also includes other components. The main issue of this method is to define a critical detection threshold that allows identification of a component other than noise, when a peak in the periodogram exceeds it. In the case of signals sampled on a regular time grid, determination of such a threshold is relatively simple. When the sampling is uneven, however, things are more complicated. The most popular solution in this case is to use the "Lomb-Scargle" periodogram, but this method can be used only when the noise is the realization of a zero-mean, white (i.e. flat-spectrum) random process. In this paper, we present a general formalism based on matrix algebra, which permits analysis of the statistical properties of a periodogram independently of the characteristics of noise (e.g. colored and/or non-stationary), as well as the characteristics of sampling.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Unevenly-sampled signals: a general formalism of the Lomb-Scargle periodogram does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Unevenly-sampled signals: a general formalism of the Lomb-Scargle periodogram, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Unevenly-sampled signals: a general formalism of the Lomb-Scargle periodogram will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-645044

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.