DocumentCode
1438988
Title
Estimating the number of sinusoids in additive white noise
Author
Fuchs, Jean-Jacques
Author_Institution
IRISA, Rennes I Univ., France
Volume
36
Issue
12
fYear
1988
fDate
12/1/1988 12:00:00 AM
Firstpage
1846
Lastpage
1853
Abstract
The test proposed uses the eigenvector decomposition of the estimated autocorrelation matrix and is based on matrix perturbation analysis. The estimator is shown to be able to resolve closely spaced sinusoids at lower signal-to-noise ratios than heuristic tests. Simulation results for two closely spaced sinusoids are detailed. Several unanswered questions are discussed
Keywords
correlation methods; spectral analysis; white noise; additive white noise; eigenvector decomposition; estimated autocorrelation matrix; matrix perturbation analysis; signal-to-noise ratios; Additive white noise; Autocorrelation; Frequency estimation; Helium; Matrix decomposition; Maximum likelihood estimation; Signal resolution; Signal to noise ratio; Testing; White noise;
fLanguage
English
Journal_Title
Acoustics, Speech and Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
0096-3518
Type
jour
DOI
10.1109/29.9029
Filename
9029
Link To Document