DocumentCode
1875726
Title
On spectral and root forms of sinusoidal frequency estimators
Author
Stoica, Petre ; Söderström, Torsten
Author_Institution
Dept. of Autom. Control, Polytech. Inst. of Bucharest, Romania
fYear
1991
fDate
14-17 Apr 1991
Firstpage
3257
Abstract
Two forms for retrieving sinusoidal frequencies from an estimated characteristic polynomial, the root form and the spectral form, are examined. It is proved that both forms give frequency estimates with the same asymptotic covariance matrix, regardless of the (consistent) method used to estimate the characteristic polynomial. The finite sample case is examined by means of Monte Carlo simulations for a specific method used to estimate the characteristic polynomial. It is shown that the root form has a distinctly smaller failure rate than the spectral form. However, it is shown that in the successful realizations the forms have nearly identical mean square errors
Keywords
Monte Carlo methods; parameter estimation; polynomials; signal processing; Monte Carlo simulations; characteristic polynomial; mean square errors; root form; signal processing; sinusoidal frequency estimators; spectral form; Automatic control; Control system analysis; Estimation error; Frequency estimation; Harmonic analysis; Multiple signal classification; Polynomials; Signal analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
Conference_Location
Toronto, Ont.
ISSN
1520-6149
Print_ISBN
0-7803-0003-3
Type
conf
DOI
10.1109/ICASSP.1991.150148
Filename
150148
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