To install click the Add extension button. That's it.

The source code for the WIKI 2 extension is being checked by specialists of the Mozilla Foundation, Google, and Apple. You could also do it yourself at any point in time.

4,5
Kelly Slayton
Congratulations on this excellent venture… what a great idea!
Alexander Grigorievskiy
I use WIKI 2 every day and almost forgot how the original Wikipedia looks like.
Live Statistics
English Articles
Improved in 24 Hours
Added in 24 Hours
What we do. Every page goes through several hundred of perfecting techniques; in live mode. Quite the same Wikipedia. Just better.
.
Leo
Newton
Brights
Milds

From Wikipedia, the free encyclopedia

SigSpec (acronym of SIGnificance SPECtrum) is a statistical technique to provide the reliability of periodicities in a measured (noisy and not necessarily equidistant) time series.[1] It relies on the amplitude spectrum obtained by the Discrete Fourier transform (DFT) and assigns a quantity called the spectral significance (frequently abbreviated by “sig”) to each amplitude. This quantity is a logarithmic measure of the probability that the given amplitude level would be seen in white noise, in the sense of a type I error. It represents the answer to the question, “What would be the chance to obtain an amplitude like the measured one or higher, if the analysed time series were random?”

SigSpec may be considered a formal extension to the Lomb-Scargle periodogram,[2][3] appropriately incorporating a time series to be averaged to zero before applying the DFT, which is done in many practical applications. When a zero-mean corrected dataset has to be statistically compared to a random sample, the sample mean (rather than the population mean only) has to be zero.

YouTube Encyclopedic

  • 1/2
    Views:
    62 822
    132 114
  • Sig Sauer Tac Ops 1911
  • LWRCI REPR .308 Review - Vuurwapen Blog

Transcription

Probability density function (pdf) of white noise in Fourier space

Considering a time series to be represented by a set of pairs , the amplitude pdf of white noise in Fourier space, depending on frequency and phase angle may be described in terms of three parameters, , , , defining the “sampling profile”, according to

In terms of the phase angle in Fourier space, , with

the probability density of amplitudes is given by

where the sock function is defined by

and denotes the variance of the dependent variable .

False-alarm probability and spectral significance

Integration of the pdf yields the false-alarm probability that white noise in the time domain produces an amplitude of at least ,

The sig is defined as the negative logarithm of the false-alarm probability and evaluates to

It returns the number of random time series one would have to examine to obtain one amplitude exceeding at the given frequency and phase.

Applications

SigSpec is primarily used in asteroseismology to identify variable stars and to classify stellar pulsation (see references below). The fact that this method incorporates the properties of the time-domain sampling appropriately makes it a valuable tool for typical astronomical measurements containing data gaps.

See also

References

  1. ^ P. Reegen (2007). "SigSpec - I. Frequency- and phase-resolved significance in Fourier space". Astronomy and Astrophysics. 467 (3): 1353–1371. arXiv:physics/0703160. Bibcode:2007A&A...467.1353R. doi:10.1051/0004-6361:20066597. S2CID 15076973.
  2. ^ N. R. Lomb (1976). "Least-squares frequency analysis of unequally spaced data". Astrophysics and Space Science. 39 (2): 447–462. Bibcode:1976Ap&SS..39..447L. doi:10.1007/BF00648343. S2CID 2671466.
  3. ^ J. D. Scargle (1982). "Studies in astronomical time series analysis. II. Statistical aspects of spectral analysis of unevenly spaced data". The Astrophysical Journal. 263: 835–853. Bibcode:1982ApJ...263..835S. doi:10.1086/160554.

External links

This page was last edited on 8 November 2023, at 01:28
Basis of this page is in Wikipedia. Text is available under the CC BY-SA 3.0 Unported License. Non-text media are available under their specified licenses. Wikipedia® is a registered trademark of the Wikimedia Foundation, Inc. WIKI 2 is an independent company and has no affiliation with Wikimedia Foundation.