Title :
On estimating signal-to-noise ratio using the sample correlation coefficient (Corresp.)
Author :
Bershad, N.J. ; Rockmore, A.J.
fDate :
1/1/1974 12:00:00 AM
Abstract :
Two versions of a Gaussian signal, corrupted by independent Gaussian noises, are available for estimating the signal-to-noise power ratio. This correspondence demonstrates that the sample correlation coefficient can be used to construct an unbiased estimator that is asymptotically efficient.
Keywords :
Parameter estimation; Aircraft; Astronomy; Computer aided analysis; Covariance matrix; Gaussian noise; Maximum likelihood estimation; Radar; Signal to noise ratio; Sonar detection; Stochastic resonance;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.1974.1055159
