DocumentCode
894660
Title
General smoothing techniques for estimating deterministic undamped sinusoidal frequencies from noisy data
Author
Itzikowitz, S. ; Averbuch, Amir
Author_Institution
Dept. of Comput. Sci., Tel Aviv Univ., Israel
Volume
41
Issue
4
fYear
1993
fDate
4/1/1993 12:00:00 AM
Firstpage
1698
Lastpage
1701
Abstract
General high-resolution smoothing techniques for estimating deterministic sinusoidal frequencies from short-record noisy data are presented. Symmetric smoothings are proven to provide conjugate reciprocal polynomial roots also in the noisy case and thereby eliminate spurious frequency estimates. In numerical simulations they provided the lowest threshold of any currently existing method
Keywords
estimation theory; noise; signal processing; conjugate reciprocal polynomial roots; deterministic undamped sinusoidal frequencies; frequency estimation; high-resolution smoothing; noisy data; numerical simulations; symmetric smoothing; threshold; Filtering algorithms; Frequency estimation; Iterative methods; Least squares approximation; Least squares methods; Maximum likelihood estimation; Numerical simulation; Polynomials; Signal to noise ratio; Smoothing methods;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.212747
Filename
212747
Link To Document