DocumentCode
2602424
Title
Asymptotic statistics of AR spectral estimators for processes containing mixed spectrum
Author
Sherman, Peter ; White, Lang ; Spanjaard, Joanna ; Bitmead, Robert
Author_Institution
Iowa State Univ., Ames, IA, USA
fYear
1996
fDate
24-26 Jun 1996
Firstpage
48
Lastpage
51
Abstract
We address the influence of point spectrum on the large sample statistics of the AR(n) spectral estimator for fixed n as well as for the case where n approaches infinity. For fixed n we obtain the distribution of this estimator. We also obtain approximate expressions for its mean and variance. These expressions involve the nth order Capon spectrum. Using convergence properties of this spectrum as n approaches infinity, we show that these expressions depend on the ratio of the AR(n) to the nth order Capon spectrum. This ratio gives insight into the statistical influence of the point spectrum on the AR(n) spectral estimator, based on the well known difference in the resolving properties of these two spectra. Simulations are included to support the theoretical results. Finally, it is hoped that our attempt to bring to bear a number of published results in this area will also contribute to a better understanding of it, and possibly stimulate further investigations
Keywords
autoregressive processes; convergence of numerical methods; estimation theory; signal resolution; spectral analysis; statistical analysis; AR spectral estimators; approximate expressions; asymptotic statistics; convergence properties; large sample statistics; mean; mixed spectrum; nth order Capon spectrum; point spectrum; resolving properties; variance; Australia; Autocorrelation; Convergence; H infinity control; Random processes; Signal processing; Spectral analysis; Statistical distributions; Statistics; Yttrium;
fLanguage
English
Publisher
ieee
Conference_Titel
Statistical Signal and Array Processing, 1996. Proceedings., 8th IEEE Signal Processing Workshop on (Cat. No.96TB10004
Conference_Location
Corfu
Print_ISBN
0-8186-7576-4
Type
conf
DOI
10.1109/SSAP.1996.534817
Filename
534817
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