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Autoregressive Modeling of Golf Velocity Time Series

Published online by Cambridge University Press:  08 February 2017

R. Ulrich ,
F. Varadi ,
L. Bertello  and
The GOLF Team
R. Ulrich
Affiliation:
University of California, Los Angeles
F. Varadi
Affiliation:
University of California, Los Angeles
L. Bertello
Affiliation:
University of California, Los Angeles

Extract

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The frequencies of solar p-modes are usually computed by fitting Lorentzian profiles to the observed signals’ Fourier spectra. We offer a new technique to estimate mode parameters: direct modeling by autoregressive stochastic processes, in conjunction with Singular Spectrum Analysis.

Type
I. Global Structure and Evolution of the Solar and Stellar Interior
Information
Symposium - International Astronomical Union , Volume 185: New Eyes to See Inside the Sun and Stars , 1998 , pp. 57 - 58
Copyright
Copyright © Kluwer 1998 

References

Gabriel, A. H. et al.: 1997, ‘Performance and early results from the GOLF instrument flown on the SOHO mission’, Solar Physics, in press CrossRefGoogle Scholar
Proakis, J. G., Rader, C. M. Ling, F., and Nikias, C. L.: 1992, Advanced Digital Signal Processing, Macmillan Publ. Co. Google Scholar
Vautard, R., Yiou, P. and Ghil, M.: 1992, ‘Singular-spectrum analysis: A toolkit for short, noisy chaotic signals,’ Physica D 58, 95–126 CrossRefGoogle Scholar