Title :
Estimating the number of sinusoids in additive white noise
Author :
Fuchs, Jean-Jacques
Author_Institution :
IRISA, Rennes I Univ., France
fDate :
12/1/1988 12:00:00 AM
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;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
