Improved spectrum estimation from digitized time series on a logarithmic frequency axis

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Michael Tröbs
  • Gerhard Heinzel

Organisationseinheiten

Externe Organisationen

  • Laser Zentrum Hannover e.V. (LZH)
  • Max-Planck-Institut für Gravitationsphysik (Albert-Einstein-Institut)
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Details

OriginalspracheEnglisch
Seiten (von - bis)120-129
Seitenumfang10
FachzeitschriftMeasurement: Journal of the International Measurement Confederation
Jahrgang39
Ausgabenummer2
Frühes Online-Datum5 Dez. 2005
PublikationsstatusVeröffentlicht - Feb. 2006

Abstract

We present a practical technique for spectrum and spectral density estimation from long time series by Fourier transforms. We apply Welch's popular technique of "averaging over modified periodograms" which uses Fourier transforms of fixed length with time-domain windows and overlap. Our technique retains the basic properties of this method, but computes the optimal frequency resolution individually for each Fourier frequency on a logarithmic frequency axis, thus yielding results that are more useful than those of the standard techniques.

ASJC Scopus Sachgebiete

Zitieren

Improved spectrum estimation from digitized time series on a logarithmic frequency axis. / Tröbs, Michael; Heinzel, Gerhard.
in: Measurement: Journal of the International Measurement Confederation, Jahrgang 39, Nr. 2, 02.2006, S. 120-129.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Tröbs M, Heinzel G. Improved spectrum estimation from digitized time series on a logarithmic frequency axis. Measurement: Journal of the International Measurement Confederation. 2006 Feb;39(2):120-129. Epub 2005 Dez 5. doi: 10.1016/j.measurement.2005.10.010
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