DocumentCode
1625758
Title
A parametric set of nonlinear methods of spectral estimations
Author
Ugrinovsky, Roman
Author_Institution
Inst. of Appl. Phys., Acad. of Sci., Nizhny Novgorod, Russia
fYear
1995
Firstpage
135
Lastpage
138
Abstract
A novel rigorous approach to the spectral density estimation problem based on the trigonometric moment problem technique is considered. Using the trigonometric moment problem results, all possible extrapolations of the autocorrelation function, which are in agreement with a set of known values are found. A wide set of spectral estimators is described in terms of polynomials orthogonal with respect to the given autocorrelation sequence. The parametric representation for this set is given
Keywords
correlation methods; extrapolation; method of moments; parameter estimation; polynomials; spectral analysis; autocorrelation function; autocorrelation sequence; extrapolations; nonlinear methods; orthogonal polynomials; parametric representation; parametric set; spectral density estimation; spectral estimators; trigonometric moment problem; Array signal processing; Autocorrelation; Concrete; Entropy; Extrapolation; Maximum likelihood estimation; Multiple signal classification; Physics; Signal processing; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems, and Electronics, 1995. ISSSE '95, Proceedings., 1995 URSI International Symposium on
Conference_Location
San Francisco
Print_ISBN
0-7803-2516-8
Type
conf
DOI
10.1109/ISSSE.1995.497951
Filename
497951
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