On estimating signal-to-noise ratio using the sample correlation coefficient (Corresp.)
N.J. Bershad, A. J. Rockmore · IEEE Transactions on Information Theory · 1974
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.